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exploit-idor

Insecure Direct Object References (IDOR) — authorization bypass through predictable object references (sequential IDs, UUIDs, filenames, encoded IDs). Covers horizontal/vertical privilege escalation, ID enumeration, HTTP method tampering, and JWT sub claim manipulation.

64

Quality

76%

Does it follow best practices?

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SecuritybySnyk

Critical

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tessl review fix ./packages/decepticon/decepticon/skills/standard/exploit/web/idor/SKILL.md
SKILL.md
Quality
Evals
Security

Security

2 findings: 1 critical severity, 1 high severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.

Critical

E006: Malicious code pattern detected in skill scripts.

What this means

Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.

Why it was flagged

This document is an explicit offensive exploitation guide: it instructs credential brute-forcing, secret cracking (Flask/JWT), forging tokens/cookies, reconstructing IDs to access other users' resources, and automated probing/grep for secrets — demonstrating clear malicious intent for data exfiltration and unauthorized access.

Report incorrect finding
High

W007: Insecure credential handling detected in skill instructions.

What this means

The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.

Why it was flagged

The prompt repeatedly instructs embedding recovered secrets, session cookies, JWT secrets, and plaintext credentials directly into commands/headers (e.g., --secret '<RECOVERED_SECRET>', Authorization: Bearer $FORGED, user:pass loops), which forces any LLM implementing it to output secret values verbatim.

Repository
PurpleAILAB/Decepticon
Audited
Security analysis
Snyk

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