cloud-recon
Cloud infrastructure enumeration — AWS S3 buckets, Azure blob storage, GCP buckets, cloud metadata endpoints, IAM misconfigurations, CDN origin detection.
64
77%
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Critical
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tessl review fix ./packages/decepticon/decepticon/skills/standard/recon/cloud-recon/SKILL.mdSecurity
2 findings: 2 critical severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
E005: Suspicious download URL detected in skill instructions.
What this means
Detected a suspicious URL in the skill instructions that could lead the agent to download and execute malicious scripts or binaries. This includes links to executables from untrusted sources, typosquatting of official packages, URL shorteners that obscure the destination, and personal file hosting services.
Why it was flagged
These URLs include cloud storage endpoints with templated/unknown bucket names (GCS, S3, Azure Blob, Firebase) that are commonly used to host malicious payloads and an EC2 metadata endpoint (169.254.169.254) that can be abused via SSRF to exfiltrate credentials, so they represent a high-risk distribution/abuse surface.
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 repository is an explicit cloud reconnaissance and exploitation playbook (S3/GCS/Azure bucket enumeration, S3 takeover detection, victim metadata/SSRF probing, leaking function keys and public data), which facilitates unauthorized data access and credential theft and thus poses a high malicious risk.
- Repository
- PurpleAILAB/Decepticon
- Commit
e34afba
- Audited
- Security analysis
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