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Ransomware Double-Dip: Re-Victimization in Cyber Extortion

Between crossovers - Do threat actors play dirty or desperate? In our dataset of over 11,000 victim organizations that have experienced a Cyber Extortion / Ransomware attack, we noticed that some victims re-occur. Consequently, the question arises why we observe a re-victimization and whether or not this is an actual second attack, an affiliate crossover (meaning an affiliate has gone to

CanaryTokenScanner - Script Designed To Proactively Identify Canary Tokens Within Microsoft Office Documents And Acrobat Reader PDF (docx, xlsx, pptx, pdf)

By: Zion3R


Detecting Canary Tokens and Suspicious URLs in Microsoft Office, Acrobat Reader PDF and Zip Files

Introduction

In the dynamic realm of cybersecurity, vigilance and proactive defense are key. Malicious actors often leverage Microsoft Office files and Zip archives, embedding covert URLs or macros to initiate harmful actions. This Python script is crafted to detect potential threats by scrutinizing the contents of Microsoft Office documents, Acrobat Reader PDF documents and Zip files, reducing the risk of inadvertently triggering malicious code.


Understanding the Script

Identification

The script smartly identifies Microsoft Office documents (.docx, .xlsx, .pptx), Acrobat Reader PDF documents (.pdf) and Zip files. These file types, including Office documents, are zip archives that can be examined programmatically.


Decompression and Scanning

For both Office and Zip files, the script decompresses the contents into a temporary directory. It then scans these contents for URLs using regular expressions, searching for potential signs of compromise.


Ignoring Certain URLs

To minimize false positives, the script includes a list of domains to ignore, filtering out common URLs typically found in Office documents. This ensures focused analysis on unusual or potentially harmful URLs.


Flagging Suspicious Files

Files with URLs not on the ignored list are marked as suspicious. This heuristic method allows for adaptability based on your specific security context and threat landscape.


Cleanup and Restoration

Post-scanning, the script cleans up by erasing temporary decompressed files, leaving no traces.


Usage

To effectively utilize the script:

  1. Setup
  2. Ensure Python is installed on your system.
  3. Position the script in an accessible location.
  4. Execute the script with the command: python CanaryTokenScanner.py FILE_OR_DIRECTORY_PATH (Replace FILE_OR_DIRECTORY_PATH with the actual file or directory path.)

  5. Interpretation

  6. Examine the output. Remember, this script is a starting point; flagged documents might not be harmful, and not all malicious documents will be flagged. Manual examination and additional security measures are advisable.

Script Showcase

Β 

An example of the Canary Token Scanner script in action, demonstrating its capability to detect suspicious URLs.


Disclaimer

This script is intended for educational and security testing purposes only. Utilize it responsibly and in compliance with applicable laws and regulations.



Mirai-based Botnet Exploiting Zero-Day Bugs in Routers and NVRs for Massive DDoS Attacks

An active malware campaign is leveraging two zero-day vulnerabilities with remote code execution (RCE) functionality to rope routers and video recorders into a Mirai-based distributed denial-of-service (DDoS) botnet. β€œThe payload targets routers and network video recorder (NVR) devices with default admin credentials and installs Mirai variants when successful,” AkamaiΒ saidΒ in an advisory

The Hidden Dangers of Public Wi-Fi

Public Wi-Fi, which has long since become the norm, poses threats to not only individual users but also businesses. With the rise of remote work, people can now work from virtually anywhere: a cafe close to home, a hotel in a different city, or even while waiting for a plane at the airport. Next, let's explore the risks of connecting to public Wi-Fi, both for you personally and for businesses.

Cbrutekrag - Penetration Tests On SSH Servers Using Brute Force Or Dictionary Attacks. Written In C

By: Zion3R


Penetration tests on SSH servers using dictionary attacks. Written in C.

brute krag means "brute force" in afrikΓ‘ans

Disclaimer

This tool is for ethical testing purpose only.
cbrutekrag and its owners can't be held responsible for misuse by users.
Users have to act as permitted by local law rules.

Β 

Requirements

cbrutekrag uses libssh - The SSH Library (http://www.libssh.org/)

Build

Requirements:

  • make
  • gcc compiler
  • libssh-dev
git clone --depth=1 https://github.com/matricali/cbrutekrag.git
cd cbrutekrag
make
make install

Static build

Requirements:

  • cmake
  • gcc compiler
  • make
  • libssl-dev
  • libz-dev
git clone --depth=1 https://github.com/matricali/cbrutekrag.git
cd cbrutekrag
bash static-build.sh
make install

Run

OpenSSH Brute force tool 0.5.0 __/ | (c) Copyright 2014-2022 Jorge Matricali |___/ usage: ./cbrutekrag [-h] [-v] [-aA] [-D] [-P] [-T TARGETS.lst] [-C combinations.lst] [-t THREADS] [-o OUTPUT.txt] [TARGETS...] -h This help -v Verbose mode -V Verbose mode (sshlib) -s Scan mode -D Dry run -P Progress bar -T <targets> Targets file -C <combinations> Username and password file -t <threads> Max threads -o <output> Output log file -a Accepts non OpenSSH servers -A Allow servers detected as honeypots." dir="auto">
$ cbrutekrag -h
_ _ _
| | | | | |
___ | |__ _ __ _ _| |_ ___| | ___ __ __ _ __ _
/ __|| '_ \| '__| | | | __/ _ \ |/ / '__/ _` |/ _` |
| (__ | |_) | | | |_| | || __/ <| | | (_| | (_| |
\___||_.__/|_| \__,_|\__\___|_|\_\_| \__,_|\__, |
OpenSSH Brute force tool 0.5.0 __/ |
(c) Copyright 2014-2022 Jorge Matricali |___/


usage: ./cbrutekrag [-h] [-v] [-aA] [-D] [-P] [-T TARGETS.lst] [-C combinations.lst]
[-t THREADS] [-o OUTPUT.txt] [TARGETS...]

-h This help
-v Verbose mode
-V Verbose mode (sshlib)
-s Scan mode
-D Dry run
-P Progress bar
-T <targets> Targets file
-C <combinations> Username and password file -t <threads> Max threads
-o <output> Output log file
-a Accepts non OpenSSH servers
-A Allow servers detected as honeypots.

Example usages

cbrutekrag -T targets.txt -C combinations.txt -o result.log
cbrutekrag -s -t 8 -C combinations.txt -o result.log 192.168.1.0/24

Supported targets syntax

  • 192.168.0.1
  • 10.0.0.0/8
  • 192.168.100.0/24:2222
  • 127.0.0.1:2222

Combinations file format

root root
root password
root $BLANKPASS$


Why Honeytokens Are the Future of Intrusion Detection

A few weeks ago, the 32nd edition of RSA, one of the world's largest cybersecurity conferences, wrapped up in San Francisco. Among the highlights, Kevin Mandia, CEO of Mandiant at Google Cloud, presented a retrospective onΒ the state of cybersecurity. During his keynote, Mandia stated: "There are clear steps organizations can take beyond common safeguards and security tools to strengthen their

Honeypot-Factory: The Use of Deception in ICS/OT Environments

The recently published Security Navigator report of Orange Cyberdefense shows there has been aΒ  rapid increase of attacks on industrial control systems (ICS) in the past few years. Looking a bit closer, most of the attacks seem to have spilt over from traditional IT. That's to be expected, as production systems are commonly connected to ordinary corporate networks at this point.Β Though the data
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