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Bytes Revealer is a powerful reverse engineering and binary analysis tool designed for security researchers, forensic analysts, and developers. With features like hex view, visual representation, string extraction, entropy calculation, and file signature detection, it helps users uncover hidden data inside files. Whether you are analyzing malware, debugging binaries, or investigating unknown file formats, Bytes Revealer makes it easy to explore, search, and extract valuable information from any binary file.
Bytes Revealer do NOT store any file or data. All analysis is performed in your browser.
Current Limitation: Files less than 50MB can perform all analysis, files bigger up to 1.5GB will only do Visual View and Hex View analysis.
FreshRSS # Node.js 14+ is required
node -v
docker-compose build --no-cache
docker-compose up -d
Now open your browser: http://localhost:8080/
To stop the docker container
docker-compose down
# Clone the repository
git clone https://github.com/vulnex/bytesrevealer
# Navigate to project directory
cd bytesrevealer
# Install dependencies
npm install
# Start development server
npm run dev
# Build the application
npm run build
# Preview production build
npm run preview
Progress bar shows upload and analysis status
Analysis Views
Real-time updates as you navigate
Search Functions
Results are highlighted in the current view
String Analysis
git checkout -b feature/AmazingFeature)git commit -m 'Add some AmazingFeature')git push origin feature/AmazingFeature)This project is licensed under the MIT License - see the LICENSE.md file for details.
Mass Assigner is a powerful tool designed to identify and exploit mass assignment vulnerabilities in web applications. It achieves this by first retrieving data from a specified request, such as fetching user profile data. Then, it systematically attempts to apply each parameter extracted from the response to a second request provided, one parameter at a time. This approach allows for the automated testing and exploitation of potential mass assignment vulnerabilities.
This tool actively modifies server-side data. Please ensure you have proper authorization before use. Any unauthorized or illegal activity using this tool is entirely at your own risk.
Install requirements
pip3 install -r requirements.txt
Run the script
python3 mass_assigner.py --fetch-from "http://example.com/path-to-fetch-data" --target-req "http://example.com/path-to-probe-the-data"
Forbidden Buster accepts the following arguments:
-h, --help show this help message and exit
--fetch-from FETCH_FROM
URL to fetch data from
--target-req TARGET_REQ
URL to send modified data to
-H HEADER, --header HEADER
Add a custom header. Format: 'Key: Value'
-p PROXY, --proxy PROXY
Use Proxy, Usage i.e: http://127.0.0.1:8080.
-d DATA, --data DATA Add data to the request body. JSON is supported with escaping.
--rate-limit RATE_LIMIT
Number of requests per second
--source-method SOURCE_METHOD
HTTP method for the initial request. Default is GET.
--target-method TARGET_METHOD
HTTP method for the modified request. Default is PUT.
--ignore-params IGNORE_PARAMS
Parameters to ignore during modification, separated by comma.
Example Usage:
python3 mass_assigner.py --fetch-from "http://example.com/api/v1/me" --target-req "http://example.com/api/v1/me" --header "Authorization: Bearer XXX" --proxy "http://proxy.example.com" --data '{\"param1\": \"test\", \"param2\":true}'
CrimsonEDR is an open-source project engineered to identify specific malware patterns, offering a tool for honing skills in circumventing Endpoint Detection and Response (EDR). By leveraging diverse detection methods, it empowers users to deepen their understanding of security evasion tactics.
| Detection | Description |
|---|---|
| Direct Syscall | Detects the usage of direct system calls, often employed by malware to bypass traditional API hooks. |
| NTDLL Unhooking | Identifies attempts to unhook functions within the NTDLL library, a common evasion technique. |
| AMSI Patch | Detects modifications to the Anti-Malware Scan Interface (AMSI) through byte-level analysis. |
| ETW Patch | Detects byte-level alterations to Event Tracing for Windows (ETW), commonly manipulated by malware to evade detection. |
| PE Stomping | Identifies instances of PE (Portable Executable) stomping. |
| Reflective PE Loading | Detects the reflective loading of PE files, a technique employed by malware to avoid static analysis. |
| Unbacked Thread Origin | Identifies threads originating from unbacked memory regions, often indicative of malicious activity. |
| Unbacked Thread Start Address | Detects threads with start addresses pointing to unbacked memory, a potential sign of code injection. |
| API hooking | Places a hook on the NtWriteVirtualMemory function to monitor memory modifications. |
| Custom Pattern Search | Allows users to search for specific patterns provided in a JSON file, facilitating the identification of known malware signatures. |
To get started with CrimsonEDR, follow these steps:
bash sudo apt-get install gcc-mingw-w64-x86-64
bash git clone https://github.com/Helixo32/CrimsonEDR
bash cd CrimsonEDR; chmod +x compile.sh; ./compile.sh
Windows Defender and other antivirus programs may flag the DLL as malicious due to its content containing bytes used to verify if the AMSI has been patched. Please ensure to whitelist the DLL or disable your antivirus temporarily when using CrimsonEDR to avoid any interruptions.
To use CrimsonEDR, follow these steps:
ioc.json file is placed in the current directory from which the executable being monitored is launched. For example, if you launch your executable to monitor from C:\Users\admin\, the DLL will look for ioc.json in C:\Users\admin\ioc.json. Currently, ioc.json contains patterns related to msfvenom. You can easily add your own in the following format:{
"IOC": [
["0x03", "0x4c", "0x24", "0x08", "0x45", "0x39", "0xd1", "0x75"],
["0xf1", "0x4c", "0x03", "0x4c", "0x24", "0x08", "0x45", "0x39"],
["0x58", "0x44", "0x8b", "0x40", "0x24", "0x49", "0x01", "0xd0"],
["0x66", "0x41", "0x8b", "0x0c", "0x48", "0x44", "0x8b", "0x40"],
["0x8b", "0x0c", "0x48", "0x44", "0x8b", "0x40", "0x1c", "0x49"],
["0x01", "0xc1", "0x38", "0xe0", "0x75", "0xf1", "0x4c", "0x03"],
["0x24", "0x49", "0x01", "0xd0", "0x66", "0x41", "0x8b", "0x0c"],
["0xe8", "0xcc", "0x00", "0x00", "0x00", "0x41", "0x51", "0x41"]
]
}
Execute CrimsonEDRPanel.exe with the following arguments:
-d <path_to_dll>: Specifies the path to the CrimsonEDR.dll file.
-p <process_id>: Specifies the Process ID (PID) of the target process where you want to inject the DLL.
For example:
.\CrimsonEDRPanel.exe -d C:\Temp\CrimsonEDR.dll -p 1234
Here are some useful resources that helped in the development of this project:
For questions, feedback, or support, please reach out to me via:
During reconaissance phase or when doing OSINT , we often use google dorking and shodan and thus the idea of Dorkish.
Dorkish is a Chrome extension tool that facilitates custom dork creation for Google and Shodan using the builder and it offers prebuilt dorks for efficient reconnaissance and OSINT engagement.
1- Clone the repository
git clone https://github.com/yousseflahouifi/dorkish.git
2- Go to chrome://extensions/ and enable the Developer mode in the top right corner.
3- click on Load unpacked extension button and select the dorkish folder.
Note: For firefox users , you can find the extension here : https://addons.mozilla.org/en-US/firefox/addon/dorkish/
Once you have found or built the dork you need, simply click it and click search. This will direct you to the desired search engine, Shodan or Google, with the specific dork you've entered. Then, you can explore and enjoy the results that match your query.
I have built some dorks and I have used some public resources to gather the dorks , here's few : - https://github.com/lothos612/shodan - https://github.com/TakSec/google-dorks-bug-bounty
YARA rule Analyzer to improve rule quality and performance
YARA rules can be syntactically correct but still dysfunctional. yaraQA tries to find and report these issues to the author or maintainer of a YARA rule set.
The issues yaraQA tries to detect are e.g.:
2 of them in the condition)$ = "\\Debug\\" fullword)$ = "AA"; can be excluded from the analysis using --ignore-performance)I'm going to extend the test set over time. Each minor version will include new features or new tests.
pip install -r requirements.txtusage: yaraQA.py [-h] [-f yara files [yara files ...]] [-d yara files [yara files ...]] [-o outfile] [-b baseline] [-l level]
[--ignore-performance] [--debug]
YARA RULE ANALYZER
optional arguments:
-h, --help show this help message and exit
-f yara files [yara files ...]
Path to input files (one or more YARA rules, separated by space)
-d yara files [yara files ...]
Path to input directory (YARA rules folders, separated by space)
-o outfile Output file that lists the issues (JSON, default: 'yaraQA-issues.json')
-b baseline Use a issues baseline (issues found and reviewed before) to filter issues
-l level Minium level to show (1=informational, 2=warning, 3=critical)
--ignore-performance Suppress performance-related rule issues
--debug Debug outputpython3 yaraQA.py -d ./test/Suppress all performance issues and only show detection / logic issues.
python3 yaraQA.py -d ./test/ --ignore-performanceSuppress all issues of informational character
python3 yaraQA.py -d ./test/ -level 2Use a baseline to only see new issues (not the ones that you've already reviewed). The baseline file is an old JSON output of a reviewed state.
python3 yaraQA.py -d ./test/ -b yaraQA-reviewed-issues.jsonExample rules with issues can be found in the ./test folder.
yaraQA writes the detected issues to a file named yaraQA-issues.json by default.
This listing shows an example of the output generated by yaraQA in JSON format:
[
{
"rule": "Demo_Rule_1_Fullword_PDB",
"id": "SM1",
"issue": "The rule uses a PDB string with the modifier 'wide'. PDB strings are always included as ASCII strings. The 'wide' keyword is unneeded.",
"element": {
"name": "$s1",
"value": "\\\\i386\\\\mimidrv.pdb",
"type": "text",
"modifiers": [
"ascii",
"wide",
"fullword"
]
},
"level": "info",
"type": "logic",
"recommendation": "Remove the 'wide' modifier"
},
{
"rule": "Demo_Rule_1_Fullword_PDB",
"id": "SM2",
"issue": "The rule uses a PDB string with the modifier 'fullword' but it starts with two backslashes and thus the modifier could lead to a dysfunctional rule.",
"element": {
"name": " $s1",
"value": "\\\\i386\\\\mimidrv.pdb",
"type": "text",
"modifiers": [
"ascii",
"wide",
"fullword"
]
},
"level": "warning",
"type": "logic",
"recommendation": "Remove the 'fullword' modifier"
},
{
"rule": "Demo_Rule_2_Short_Atom",
"id": "PA2",
"issue": "The rule contains a string that turns out to be a very short atom, which could cause a reduced performance of the complete rule set or increased memory usage.",
"element": {
"name": "$s1",
"value": "{ 01 02 03 }",
"type": "byte"
},
"level": "warning",
"type": "performance",
"recommendation": "Try to avoid using such short atoms, by e.g. adding a few more bytes to the beginning or the end (e.g. add a binary 0 in front or a space after the string). Every additional byte helps."
},
{
"rule": "Demo_Rule_3_Fullword_FilePath_Section",
"id": "SM3",
"issue": "The rule uses a string with the modifier 'fullword' but it starts and ends with two backslashes and thus the modifier could lead to a dysfunctional rule.",
"element": {
"name": "$s1",
"value": "\\\\ZombieBoy\\\\",
"type": "text",
"modifiers": [
"ascii",
"fullword"
]
},
"level": "warning",
"type": "logic",
"recommendation": "Remove the 'fullword' modifier"
},
{
"rule": "Demo_Rule_4_Condition_Never_Matches",
"id": "CE1",
"issue": "The rule uses a condition that will never match",
"element": {
"condition_segment": "2 of",
"num_of_strings": 1
},
"level": "error",
"type": "logic",
"recommendation": "Fix the condition"
},
{
"rule": "Demo_Rule_5_Condition_Short_String_At_Pos",
"id": "PA1",
"issue": "This rule looks for a short string at a particular position. A short string represents a short atom and could be rewritten to an expression using uint(x) at position.",
"element": {
"condition_segment": "$mz at 0",
"string": "$mz",
"value": "MZ"
},
"level": "warning",
"type": "performance",
"recommendation": ""
},
{
"rule": "Demo_Rule_5_Condition_Short_String_At_Pos",
"id": "PA2",
"issue": "The rule contains a string that turns out to be a very short atom, which could cause a reduced performance of the complete rule set or increased memory usage.",< br/> "element": {
"name": "$mz",
"value": "MZ",
"type": "text",
"modifiers": [
"ascii"
]
},
"level": "warning",
"type": "performance",
"recommendation": "Try to avoid using such short atoms, by e.g. adding a few more bytes to the beginning or the end (e.g. add a binary 0 in front or a space after the string). Every additional byte helps."
},
{
"rule": "Demo_Rule_6_Condition_Short_Byte_At_Pos",
"id": "PA1",
"issue": "This rule looks for a short string at a particular position. A short string represents a short atom and could be rewritten to an expression using uint(x) at position.",
"element": {
"condition_segment": "$mz at 0",
"string": "$mz",
"value": "{ 4d 5a }"
},
"level": "warning",
"type": "performance",
"recommendation": ""
},
{
"rule": "Demo_Rule_6_Condition_Short_Byte_At_Pos",
"id": "PA2",
"issue": "The rule contains a string that turns out to be a very short atom, which could cause a reduced performance of the complete rule set or increased memory usage.",
"element": {
"name": "$mz",
"value": "{ 4d 5a }",
"type": "byte"
},
"level": "warning",
"type": "performance",
"recommendation": "Try to avoid using such short atoms, by e.g. adding a few more bytes to the beginning or the end (e.g. add a binary 0 in front or a space after the string). Every additional byte helps."
},
{
"rule": "Demo_Rule_6_Condition_Short_Byte_At_Pos",
"id": "SM3",
"issue": "The rule uses a string with the modifier 'fullword' but it starts and ends with two backsla shes and thus the modifier could lead to a dysfunctional rule.",
"element": {
"name": "$s1",
"value": "\\\\Section\\\\in\\\\Path\\\\",
"type": "text",
"modifiers": [
"ascii",
"fullword"
]
},
"level": "warning",
"type": "logic",
"recommendation": "Remove the 'fullword' modifier"
}
]
