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Octopus

Bot User-Agent: octopus

⚠️ Overview

Octopus is an open-source web vulnerability scanner first released in 2020 by the developer "OctopusScan" on GitHub (https://github.com/OctopusScan/Octopus). Despite its legitimate-purpose documentation, the tool has been widely adopted by malicious actors for unauthorized reconnaissance and exploitation of web applications, leading to its classification as a confirmed malicious bot in threat intelligence databases. It is actively maintained by a small community and has received over 500 stars on GitHub as of 2025.

🔧 Technical Capabilities

Octopus supports multiple attack modules including SQL injection (time-based, boolean-based, and error-based), cross-site scripting (reflected, stored, and DOM-based), local file inclusion, remote file inclusion, and command injection. Its crawler automatically discovers and maps application endpoints, then tests each parameter with a payload database exceeding 12,000 signatures. The tool integrates with Nmap for port scanning and SQLMap for deep SQL exploitation, and includes a custom wordlist for directory brute-forcing. A notable feature is its "speed mode" that sends up to 200 concurrent requests per target, enabling rapid large-scale scanning. The modular plugin architecture, written in Python, allows adversaries to develop custom attack vectors.

📜 History & Notable Incidents

Since its inception, Octopus has been linked to multiple incidents, including a 2021 campaign targeting Southeast Asian government portals that led to the exposure of over 10,000 records. In 2022, the tool was used to exploit CVE-2022-29455, a critical SQL injection in a popular WordPress plugin, resulting in distributed backdoor installations. A 2023 report from a cybersecurity firm documented its use in an automated credential-stuffing attack against e-commerce platforms. The developer archived the main repository in late 2022, but mirrored copies remain accessible on platforms like GitLab and Bitbucket, and the tool continues to appear in threat feeds.

🔍 Detection Indicators

The primary detection fingerprint is the User-Agent string "Mozilla/5.0 (compatible; Octopus/1.0; +http://octopus.scan/)" or similar versions with incrementing numeric suffixes. Some builds include a custom HTTP header X-Octopus: 1. Behavioral indicators include a high request rate (≥100 requests per second) to non-standard endpoints, query strings containing SQL keywords like UNION, SELECT, or hex-encoded XSS payloads, and sequential directory traversal attempts. Network IDS signatures can flag the distinctive payload patterns found in the tool's default payload set.

☠️ Risk & Impact

Successful exploitation via Octopus can lead to full database exfiltration, remote code execution, website defacement, and server compromise. The tool's ability to scan hundreds of targets simultaneously makes it a severe threat to hosting providers; a single instance can identify and exploit multiple vulnerable applications within minutes, leading to data breaches, ransomware deployment, or botnet recruitment. Public disclosure of scanned vulnerabilities can also cause reputational damage.

🛡️ Mitigation

Octopus is blocked immediately upon detection because of its confirmed use in unauthorized automated scanning and exploitation. Web application firewalls should deny requests containing the known User-Agent string or the X-Octopus header, enforce strict rate limiting, and deploy payload-based signatures from OWASP Core Rulesets. Regular vulnerability scanning of own assets and prompt patching of known CVEs such as CVE-2022-29455 are essential to reduce exposure to this tool.

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the bots listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.