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New Glibc Flaw Grants Attackers Root Access on Major Linux Distros

Malicious local attackers can obtain full root access on Linux machines by taking advantage of a newly disclosed security flaw in the GNU C library (aka glibc). Tracked as CVE-2023-6246 (CVSS score: 7.8), the heap-based buffer overflow vulnerability is rooted in glibc's __vsyslog_internal() function, which is used by syslog() and vsyslog() for system logging purposes. It's said to have

TrafficWatch - TrafficWatch, A Packet Sniffer Tool, Allows You To Monitor And Analyze Network Traffic From PCAP Files

By: Zion3R


TrafficWatch, a packet sniffer tool, allows you to monitor and analyze network traffic from PCAP files. It provides insights into various network protocols and can help with network troubleshooting, security analysis, and more.

  • Protocol-specific packet analysis for ARP, ICMP, TCP, UDP, DNS, DHCP, HTTP, SNMP, LLMNR, and NetBIOS.
  • Packet filtering based on protocol, source IP, destination IP, source port, destination port, and more.
  • Summary statistics on captured packets.
  • Interactive mode for in-depth packet inspection.
  • Timestamps for each captured packet.
  • User-friendly colored output for improved readability.
  • Python 3.x
  • scapy
  • argparse
  • pyshark
  • colorama

  1. Clone the repository:

    git clone https://github.com/HalilDeniz/TrafficWatch.git
  2. Navigate to the project directory:

    cd TrafficWatch
  3. Install the required dependencies:

    pip install -r requirements.txt

python3 trafficwatch.py --help
usage: trafficwatch.py [-h] -f FILE [-p {ARP,ICMP,TCP,UDP,DNS,DHCP,HTTP,SNMP,LLMNR,NetBIOS}] [-c COUNT]

Packet Sniffer Tool

options:
-h, --help show this help message and exit
-f FILE, --file FILE Path to the .pcap file to analyze
-p {ARP,ICMP,TCP,UDP,DNS,DHCP,HTTP,SNMP,LLMNR,NetBIOS}, --protocol {ARP,ICMP,TCP,UDP,DNS,DHCP,HTTP,SNMP,LLMNR,NetBIOS}
Filter by specific protocol
-c COUNT, --count COUNT
Number of packets to display

To analyze packets from a PCAP file, use the following command:

python trafficwatch.py -f path/to/your.pcap

To specify a protocol filter (e.g., HTTP) and limit the number of displayed packets (e.g., 10), use:

python trafficwatch.py -f path/to/your.pcap -p HTTP -c 10

  • -f or --file: Path to the PCAP file for analysis.
  • -p or --protocol: Filter packets by protocol (ARP, ICMP, TCP, UDP, DNS, DHCP, HTTP, SNMP, LLMNR, NetBIOS).
  • -c or --count: Limit the number of displayed packets.

Contributions are welcome! If you want to contribute to TrafficWatch, please follow our contribution guidelines.

If you have any questions, comments, or suggestions about Dosinator, please feel free to contact me:

This project is licensed under the MIT License.

Thank you for considering supporting me! Your support enables me to dedicate more time and effort to creating useful tools like DNSWatch and developing new projects. By contributing, you're not only helping me improve existing tools but also inspiring new ideas and innovations. Your support plays a vital role in the growth of this project and future endeavors. Together, let's continue building and learning. Thank you!"Β 



Caracal - Static Analyzer For Starknet Smart Contracts

By: Zion3R


Caracal is a static analyzer tool over the SIERRA representation for Starknet smart contracts.

Features

  • Detectors to detect vulnerable Cairo code
  • Printers to report information
  • Taint analysis
  • Data flow analysis framework
  • Easy to run in Scarb projects

Installation

Precompiled binaries

Precompiled binaries are available on our releases page. If you are using Cairo compiler 1.x.x uses the binary v0.1.x otherwise if you are using the Cairo compiler 2.x.x uses v0.2.x.

Building from source

You need the Rust compiler and Cargo. Building from git:

cargo install --git https://github.com/crytic/caracal --profile release --force

Building from a local copy:

git clone https://github.com/crytic/caracal
cd caracal
cargo install --path . --profile release --force

Usage

List detectors:

caracal detectors

List printers:

caracal printers

Standalone

To use with a standalone cairo file you need to pass the path to the corelib library either with the --corelib cli option or by setting the CORELIB_PATH environment variable. Run detectors:

caracal detect path/file/to/analyze --corelib path/to/corelib/src

Run printers:

caracal print path/file/to/analyze --printer printer_to_use --corelib path/to/corelib/src

Scarb

If you have a project that uses Scarb you need to add the following in Scarb.toml:

[[target.starknet-contract]]
sierra = true

[cairo]
sierra-replace-ids = true

Then pass the path to the directory where Scarb.toml resides. Run detectors:

caracal detect path/to/dir

Run printers:

caracal print path/to/dir --printer printer_to_use

Detectors

Num Detector What it Detects Impact Confidence Cairo
1 controlled-library-call Library calls with a user controlled class hash High Medium 1 & 2
2 unchecked-l1-handler-from Detect L1 handlers without from address check High Medium 1 & 2
3 felt252-overflow Detect user controlled operations with felt252 type, which is not overflow safe High Medium 1 & 2
4 reentrancy Detect when a storage variable is read before an external call and written after Medium Medium 1 & 2
5 read-only-reentrancy Detect when a view function read a storage variable written after an external call Medium Medium 1 & 2
6 unused-events Events defined but not emitted Medium Medium 1 & 2
7 unused-return Unused return values Medium Medium 1 & 2
8 unenforced-view Function has view decorator but modifies state Medium Medium 1
9 unused-arguments Unused arguments Low Medium 1 & 2
10 reentrancy-benign Detect when a storage variable is written after an external call but not read before Low Medium 1 & 2
11 reentrancy-events Detect when an event is emitted after an external call leading to out-of-order events Low Medium 1 & 2
12 dead-code Private functions never used Low Medium 1 & 2

The Cairo column represent the compiler version(s) for which the detector is valid.

Printers

  • cfg: Export the CFG of each function to a .dot file
  • callgraph: Export function call graph to a .dot file

How to contribute

Check the wiki on the following topics:

Limitations

  • Inlined functions are not handled correctly.
  • Since it's working over the SIERRA representation it's not possible to report where an error is in the source code but we can only report SIERRA instructions/what's available in a SIERRA program.


DNSWatch - DNS Traffic Sniffer and Analyzer

By: Zion3R


DNSWatch is a Python-based tool that allows you to sniff and analyze DNS (Domain Name System) traffic on your network. It listens to DNS requests and responses and provides insights into the DNS activity.Β 

Features

  • Sniff and analyze DNS requests and responses.
  • Display DNS requests with their corresponding source and destination IP addresses.
  • Optional verbose mode for detailed packet inspection.
  • Save the results to a specified output file.
  • Filter DNS traffic by specifying a target IP address.
  • Save DNS requests in a database for further analysis(optional)
  • Analyze DNS types (optional).
  • Support for DNS over HTTPS (DoH) (optional).

Requirements

  • Python 3.7+
  • scapy 2.4.5 or higher
  • colorama 0.4.4 or higher

Installation

  1. Clone this repository:
git clone https://github.com/HalilDeniz/DNSWatch.git
  1. Install the required dependencies:
pip install -r requirements.txt

Usage

python dnswatch.py -i <interface> [-v] [-o <output_file>] [-k <target_ip>] [--analyze-dns-types] [--doh]
  • -i, --interface: Specify the network interface (e.g., eth0).
  • -v, --verbose: Use this flag for more verbose output.
  • -o, --output: Specify the filename to save results.
  • -t, --target-ip: Specify a specific target IP address to monitor.
  • -adt, --analyze-dns-types: Analyze DNS types.
  • --doh: Use DNS over HTTPS (DoH) for resolving DNS requests.
  • -fd, --target-domains: Filter DNS requests by specified domains.
  • -d, --database: Enable database storage for DNS requests.

Press Ctrl+C to stop the sniffing process.

Examples

  • Sniff DNS traffic on interface "eth0":
python dnswatch.py -i eth0
  • Sniff DNS traffic on interface "eth0" and save the results to a file:
python dnswatch.py -i eth0 -o dns_results.txt
  • Sniff DNS traffic on interface "eth0" and filter requests/responses involving a specific target IP:
python dnswatch.py -i eth0 -k 192.168.1.100
  • Sniff DNS traffic on interface "eth0" and enable DNS type analysis:
python dnswatch.py -i eth0 --analyze-dns-types
  • Sniff DNS traffic on interface "eth0" using DNS over HTTPS (DoH):
python dnswatch.py -i eth0 --doh
  • Sniff DNS traffic on interface "wlan0" and Enable database storage
python3 dnswatch.py -i wlan0 --database

License

DNSWatch is licensed under the MIT License. See the LICENSE file for details.

Disclaimer

This tool is intended for educational and testing purposes only. It should not be used for any malicious activities.

Contact



Teler-Waf - A Go HTTP Middleware That Provides Teler IDS Functionality To Protect Against Web-Based Attacks And Improve The Security Of Go-based Web Applications

By: Zion3R

teler-waf is a comprehensive security solution for Go-based web applications. It acts as an HTTP middleware, providing an easy-to-use interface for integrating IDS functionality with teler IDS into existing Go applications. By using teler-waf, you can help protect against a variety of web-based attacks, such as cross-site scripting (XSS) and SQL injection.

The package comes with a standard net/http.Handler, making it easy to integrate into your application's routing. When a client makes a request to a route protected by teler-waf, the request is first checked against the teler IDS to detect known malicious patterns. If no malicious patterns are detected, the request is then passed through for further processing.

In addition to providing protection against web-based attacks, teler-waf can also help improve the overall security and integrity of your application. It is highly configurable, allowing you to tailor it to fit the specific needs of your application.


See also:

  • kitabisa/teler: Real-time HTTP intrusion detection.
  • dwisiswant0/cox: Cox is bluemonday-wrapper to perform a deep-clean and/or sanitization of (nested-)interfaces from HTML to prevent XSS payloads.

Features

Some core features of teler-waf include:

  • HTTP middleware for Go web applications.
  • Integration of teler IDS functionality.
  • Detection of known malicious patterns using the teler IDS.
    • Common web attacks, such as cross-site scripting (XSS) and SQL injection, etc.
    • CVEs, covers known vulnerabilities and exploits.
    • Bad IP addresses, such as those associated with known malicious actors or botnets.
    • Bad HTTP referers, such as those that are not expected based on the application's URL structure or are known to be associated with malicious actors.
    • Bad crawlers, covers requests from known bad crawlers or scrapers, such as those that are known to cause performance issues or attempt to extract sensitive information from the application.
    • Directory bruteforce attacks, such as by trying common directory names or using dictionary attacks.
  • Configuration options to whitelist specific types of requests based on their URL or headers.
  • Easy integration with many frameworks.
  • High configurability to fit the specific needs of your application.

Overall, teler-waf provides a comprehensive security solution for Go-based web applications, helping to protect against web-based attacks and improve the overall security and integrity of your application.

Install

To install teler-waf in your Go application, run the following command to download and install the teler-waf package:

go get github.com/kitabisa/teler-waf

Usage

Here is an example of how to use teler-waf in a Go application:

  1. Import the teler-waf package in your Go code:
import "github.com/kitabisa/teler-waf"
  1. Use the New function to create a new instance of the Teler type. This function takes a variety of optional parameters that can be used to configure teler-waf to suit the specific needs of your application.
waf := teler.New()
  1. Use the Handler method of the Teler instance to create a net/http.Handler. This handler can then be used in your application's HTTP routing to apply teler-waf's security measures to specific routes.
handler := waf.Handler(http.HandlerFunc(yourHandlerFunc))
  1. Use the handler in your application's HTTP routing to apply teler-waf's security measures to specific routes.
http.Handle("/path", handler)

That's it! You have configured teler-waf in your Go application.

Options:

For a list of the options available to customize teler-waf, see the teler.Options struct.

Examples

Here is an example of how to customize the options and rules for teler-waf:

// main.go
package main

import (
"net/http"

"github.com/kitabisa/teler-waf"
"github.com/kitabisa/teler-waf/request"
"github.com/kitabisa/teler-waf/threat"
)

var myHandler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
// This is the handler function for the route that we want to protect
// with teler-waf's security measures.
w.Write([]byte("hello world"))
})

var rejectHandler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
// This is the handler function for the route that we want to be rejected
// if the teler-waf's security measures are triggered.
http.Error(w, "Sorry, your request has been denied for security reasons.", http.StatusForbidden)
})

func main() {
// Create a new instance of the Teler type using the New function
// and configure it using the Options struct.
telerMiddleware := teler.New(tel er.Options{
// Exclude specific threats from being checked by the teler-waf.
Excludes: []threat.Threat{
threat.BadReferrer,
threat.BadCrawler,
},
// Specify whitelisted URIs (path & query parameters), headers,
// or IP addresses that will always be allowed by the teler-waf.
Whitelists: []string{
`(curl|Go-http-client|okhttp)/*`,
`^/wp-login\.php`,
`(?i)Referer: https?:\/\/www\.facebook\.com`,
`192\.168\.0\.1`,
},
// Specify custom rules for the teler-waf to follow.
Customs: []teler.Rule{
{
// Give the rule a name for easy identification.
Name: "Log4j Attack",
// Specify the logical operator to use when evaluating the rule's conditions.
Condition: "or",
// Specify the conditions that must be met for the rule to trigger.
Rules: []teler.Condition{
{
// Specify the HTTP method that the rule applies to.
Method: request.GET,
// Specify the element of the request that the rule applies to
// (e.g. URI, headers, body).
Element: request.URI,
// Specify the pattern to match against the element of the request.
Pattern: `\$\{.*:\/\/.*\/?\w+?\}`,
},
},
},
},
// Specify the file path to use for logging.
LogFile: "/tmp/teler.log",
})

// Set the rejectHandler as the handler for the telerMiddleware.
telerMiddleware.SetHandler(rejectHandler)

// Create a new handler using the handler method of the Teler instance
// and pass in the myHandler function for the route we want to protect.
app := telerMiddleware.Handler(myHandler)

// Use the app handler as the handler for the route.
http.ListenAndServe("127.0.0.1:3000", app)
}

Warning: When using a whitelist, any request that matches it - regardless of the type of threat it poses, it will be returned without further analysis.

To illustrate, suppose you set up a whitelist to permit requests containing a certain string. In the event that a request contains that string, but /also/ includes a payload such as an SQL injection or cross-site scripting ("XSS") attack, the request may not be thoroughly analyzed for common web attack threats and will be swiftly returned. See issue #25.

For more examples of how to use teler-waf or integrate it with any framework, take a look at examples/ directory.

Development

By default, teler-waf caches all incoming requests for 15 minutes & clear them every 20 minutes to improve the performance. However, if you're still customizing the settings to match the requirements of your application, you can disable caching during development by setting the development mode option to true. This will prevent incoming requests from being cached and can be helpful for debugging purposes.

// Create a new instance of the Teler type using
// the New function & enable development mode option.
telerMiddleware := teler.New(teler.Options{
Development: true,
})

Logs

Here is an example of what the log lines would look like if teler-waf detects a threat on a request:

{"level":"warn","ts":1672261174.5995026,"msg":"bad crawler","id":"654b85325e1b2911258a","category":"BadCrawler","request":{"method":"GET","path":"/","ip_addr":"127.0.0.1:37702","headers":{"Accept":["*/*"],"User-Agent":["curl/7.81.0"]},"body":""}}
{"level":"warn","ts":1672261175.9567692,"msg":"directory bruteforce","id":"b29546945276ed6b1fba","category":"DirectoryBruteforce","request":{"method":"GET","path":"/.git","ip_addr":"127.0.0.1:37716","headers":{"Accept":["*/*"],"User-Agent":["X"]},"body":""}}
{"level":"warn","ts":1672261177.1487508,"msg":"Detects common comment types","id":"75412f2cc0ec1cf79efd","category":"CommonWebAttack","request":{"method":"GET","path":"/?id=1%27% 20or%201%3D1%23","ip_addr":"127.0.0.1:37728","headers":{"Accept":["*/*"],"User-Agent":["X"]},"body":""}}

The id is a unique identifier that is generated when a request is rejected by teler-waf. It is included in the HTTP response headers of the request (X-Teler-Req-Id), and can be used to troubleshoot issues with requests that are being made to the website.

For example, if a request to a website returns an HTTP error status code, such as a 403 Forbidden, the teler request ID can be used to identify the specific request that caused the error and help troubleshoot the issue.

Teler request IDs are used by teler-waf to track requests made to its web application and can be useful for debugging and analyzing traffic patterns on a website.

Datasets

The teler-waf package utilizes a dataset of threats to identify and analyze each incoming request for potential security threats. This dataset is updated daily, which means that you will always have the latest resource. The dataset is initially stored in the user-level cache directory (on Unix systems, it returns $XDG_CACHE_HOME/teler-waf as specified by XDG Base Directory Specification if non-empty, else $HOME/.cache/teler-waf. On Darwin, it returns $HOME/Library/Caches/teler-waf. On Windows, it returns %LocalAppData%/teler-waf. On Plan 9, it returns $home/lib/cache/teler-waf) on your first launch. Subsequent launch will utilize the cached dataset, rather than downloading it again.

Note: The threat datasets are obtained from the kitabisa/teler-resources repository.

However, there may be situations where you want to disable automatic updates to the threat dataset. For example, you may have a slow or limited internet connection, or you may be using a machine with restricted file access. In these cases, you can set an option called NoUpdateCheck to true, which will prevent the teler-waf from automatically updating the dataset.

// Create a new instance of the Teler type using the New
// function & disable automatic updates to the threat dataset.
telerMiddleware := teler.New(teler.Options{
NoUpdateCheck: true,
})

Finally, there may be cases where it's necessary to load the threat dataset into memory rather than saving it to a user-level cache directory. This can be particularly useful if you're running the application or service on a distroless or runtime image, where file access may be limited or slow. In this scenario, you can set an option called InMemory to true, which will load the threat dataset into memory for faster access.

// Create a new instance of the Teler type using the
// New function & enable in-memory threat datasets store.
telerMiddleware := teler.New(teler.Options{
InMemory: true,
})

Warning: This may also consume more system resources, so it's worth considering the trade-offs before making this decision.

Resources

Security

If you discover a security issue, please bring it to their attention right away, we take security seriously!

Reporting a Vulnerability

If you have information about a security issue, or vulnerability in this teler-waf package, and/or you are able to successfully execute such as cross-site scripting (XSS) and pop-up an alert in our demo site (see resources), please do NOT file a public issue β€” instead, kindly send your report privately via the vulnerability report form or to our official channels as per our security policy.

Limitations

Here are some limitations of using teler-waf:

  • Performance overhead: teler-waf may introduce some performance overhead, as the teler-waf will need to process each incoming request. If you have a high volume of traffic, this can potentially slow down the overall performance of your application significantly, especially if you enable the CVEs threat detection. See benchmark below:
$ go test -bench . -cpu=4
goos: linux
goarch: amd64
pkg: github.com/kitabisa/teler-waf
cpu: 11th Gen Intel(R) Core(TM) i9-11900H @ 2.50GHz
BenchmarkTelerDefaultOptions-4 42649 24923 ns/op 6206 B/op 97 allocs/op
BenchmarkTelerCommonWebAttackOnly-4 48589 23069 ns/op 5560 B/op 89 allocs/op
BenchmarkTelerCVEOnly-4 48103 23909 ns/op 5587 B/op 90 allocs/op
BenchmarkTelerBadIPAddressOnly-4 47871 22846 ns/op 5470 B/op 87 allocs/op
BenchmarkTelerBadReferrerOnly-4 47558 23917 ns/op 5649 B/op 89 allocs/op
BenchmarkTelerBadCrawlerOnly-4 42138 24010 ns/op 5694 B/op 86 allocs/op
BenchmarkTelerDirectoryBruteforceOnly-4 45274 23523 ns/op 5657 B/op 86 allocs/op
BenchmarkT elerCustomRule-4 48193 22821 ns/op 5434 B/op 86 allocs/op
BenchmarkTelerWithoutCommonWebAttack-4 44524 24822 ns/op 6054 B/op 94 allocs/op
BenchmarkTelerWithoutCVE-4 46023 25732 ns/op 6018 B/op 93 allocs/op
BenchmarkTelerWithoutBadIPAddress-4 39205 25927 ns/op 6220 B/op 96 allocs/op
BenchmarkTelerWithoutBadReferrer-4 45228 24806 ns/op 5967 B/op 94 allocs/op
BenchmarkTelerWithoutBadCrawler-4 45806 26114 ns/op 5980 B/op 97 allocs/op
BenchmarkTelerWithoutDirectoryBruteforce-4 44432 25636 ns/op 6185 B/op 97 allocs/op
PASS
ok github.com/kitabisa/teler-waf 25.759s

Note: Benchmarking results may vary and may not be consistent. Those results were obtained when there were >1.5k CVE templates and the teler-resources dataset may have increased since then, which may impact the results.

  • Configuration complexity: Configuring teler-waf to suit the specific needs of your application can be complex, and may require a certain level of expertise in web security. This can make it difficult for those who are not familiar with application firewalls and IDS systems to properly set up and use teler-waf.
  • Limited protection: teler-waf is not a perfect security solution, and it may not be able to protect against all possible types of attacks. As with any security system, it is important to regularly monitor and maintain teler-waf to ensure that it is providing the desired level of protection.

Known Issues

To view a list of known issues with teler-waf, please filter the issues by the "known-issue" label.

License

This program is developed and maintained by members of Kitabisa Security Team, and this is not an officially supported Kitabisa product. This program is free software: you can redistribute it and/or modify it under the terms of the Apache license. Kitabisa teler-waf and any contributions are copyright Β© by Dwi Siswanto 2022-2023.



Apk.Sh - Makes Reverse Engineering Android Apps Easier, Automating Some Repetitive Tasks Like Pulling, Decoding, Rebuilding And Patching An APK


apk.sh is a Bash script that makes reverse engineering Android apps easier, automating some repetitive tasks like pulling, decoding, rebuilding and patching an APK.


Features

apk.sh basically uses apktool to disassemble, decode and rebuild resources and some bash to automate the frida gadget injection process. It also supports app bundles/split APKs.

  • 
    Patching APKs to load frida-gadget.so on start.
  • 
    Support for app bundles/split APKs.
  • 
    Disassembling resources to nearly original form with apktool.
  • ο”©
    Rebuilding decoded resources back to binary APK/JAR with apktool.
  • ️
    Code signing the apk with apksigner.
  • ο–₯️
    Multiple arch support (arm, arm64, x86, x86_64).
  • ο“΅
    No rooted Android device needed.

Getting started

Pulling an APK from a device is simple as running ./apk.sh pull <package_name>

Decoding an APK is simple as running ./apk.sh decode <apk_name>

Rebuilding an APK is simple as running ./apk.sh build <apk_dir>

apk.sh pull

apk.sh pull pull an APK from a device. It supports app bundles/split APKs, which means that split APKs will be joined in a single APK (this is useful for patching). If the package is an app bundle/split APK, apk.sh will combine the APKs into a single APK, fixing all public resource identifiers.

apk.sh patch

apk.sh patch patch an APK to load frida-gadget.so on start.

frida-gadget.so is a Frida's shared library meant to be loaded by programs to be instrumented (when the Injected mode of operation isn’t suitable). By simply loading the library it will allow you to interact with it using existing Frida-based tools like frida-trace. It also supports a fully autonomous approach where it can run scripts off the filesystem without any outside communication.

Patching an APK is simple as running ./apk.sh patch <apk_name> --arch arm.

You can calso specify a Frida gadget configuration in a json ./apk.sh patch <apk_name> --arch arm --gadget-conf <config.json>


Frida's Gadget configurations

In the default interaction, Frida Gadget exposes a frida-server compatible interface, listening on localhost:27042 by default. In order to achieve early instrumentation Frida let Gadget’s constructor function block until you either attach() to the process, or call resume() after going through the usual spawn() -> attach() -> ...apply instrumentation... steps.

If you don’t want this blocking behavior and want to let the program boot right up, or you’d prefer it listening on a different interface or port, you can customize this through a json configuration file.

The default configuration is:

{
"interaction": {
"type": "listen",
"address": "127.0.0.1",
"port": 27042,
"on_port_conflict": "fail",
"on_load": "wait"
}
}

You can pass the gadget configuration file to apk.sh with the --gadget-conf option.

Script interaction

A typically suggested configuration might be:

{
"interaction": {
"type": "script",
"path": "/data/local/tmp/script.js",
"on_change":"reload"
}
}

script.js could be something like:

var android_log_write = new NativeFunction(
Module.getExportByName(null, '__android_log_write'),
'int',
['int', 'pointer', 'pointer']
);

var tag = Memory.allocUtf8String("[frida-script][ax]");

var work = function() {
setTimeout(function() {
android_log_write(3, tag, Memory.allocUtf8String("ping @ " + Date.now()));
work();
}, 1000);
}

work();

android_log_write(3, tag, Memory.allocUtf8String(">--(O.o)-<"));

adb push script.js /data/local/tmp

./apk.sh patch <apk_name> --arch arm --gadget-conf <config.json>

adb install file.gadget.apk

Note

Add the following code to print to logcat the console.log output of any script from the frida codeshare when using the Script interaction type.

// print to logcat the console.log output
// see: https://github.com/frida/frida/issues/382
var android_log_write = new NativeFunction(
Module.getExportByName(null, '__android_log_write'),
'int',
['int', 'pointer', 'pointer']
);
var tag = Memory.allocUtf8String("[frida-script][ax]");
console.log = function(str) {
android_log_write(3, tag, Memory.allocUtf8String(str));
}

Requirements

  • apktool
  • apksigner
  • unxz
  • zipalign
  • aapt
  • adb

Usage

SYNOPSIS

apk.sh [SUBCOMMAND] [APK FILE|APK DIR|PKG NAME] [FLAGS]
apk.sh pull [PKG NAME] [FLAGS]
apk.sh decode [APK FILE] [FLAGS]
apk.sh build [APK DIR] [FLAGS]
apk.sh patch [APK FILE] [FLAGS]
apk.sh rename [APK FILE] [PKG NAME] [FLAGS]

SUBCOMMANDS

pull	Pull an apk from device/emulator.
decode Decode an apk.
build Re-build an apk.
patch Patch an apk.
rename Rename the apk package.

FLAGS

-a, --arch <arch> Specify the target architecture, mandatory when patching.

-g, --gadget-conf <json_file> Specify a frida-gadget configuration file, optional when patching.

-n, --net Add a permissive network security config when building, optional. It can be used with patch, pull and rename also.

-s, --safe Do not decode resources when decoding (i.e. apktool -r). Cannot be used when patching.

-d, --no-dis Do not disassemble dex, optional when decoding (i.e. apktool -s). Cannot be used when patching.


Links of Interest

https://frida.re/docs/gadget/

https://lief-project.github.io/doc/latest/tutorials/09_frida_lief.html

https://koz.io/using-frida-on-android-without-root/

https://github.com/sensepost/objection/

https://github.com/NickstaDB/patch-apk/

https://neo-geo2.gitbook.io/adventures-on-security/frida-scripting-guide/frida-scripting-guide



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