Web app discovery — directory/file fuzzing, vhost discovery, JavaScript endpoint extraction.
61
73%
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Critical
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tessl review fix ./packages/decepticon/decepticon/skills/standard/recon/web-recon/discovery/SKILL.mdSecurity
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.
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.
This skill explicitly instructs techniques to discover and extract secrets and sensitive files (API keys in JS, .env/.git/config, off-by-one/LFI probes), enabling credential theft and data exfiltration.
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.
The skill explicitly instructs running grep/curl commands that search for and print API keys, tokens, and other secrets from JavaScript and common sensitive files, which would cause an agent to capture and output secret values verbatim.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required workflow uses runtime `curl`/JS download and `grep` on website content (public web pages and JS files fetched at runtime from `<target>`), which is outsider-authored free text ingested into the LLM context via the extracted endpoints/secrets.
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