Entra Conditional Access bypass — discover policy gaps, exploit legacy-auth protocols (IMAP/POP/SMTP-AUTH/EWS), spoof device/platform/UA/location conditions, abuse service-principals + app-based auth excluded from CA, and break-glass account misuse.
65
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Critical
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tessl review fix ./packages/decepticon/decepticon/skills/standard/cloud/entra-conditional-access-bypass/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 file is an explicit offensive playbook describing step-by-step techniques to bypass Azure/Entra Conditional Access (ROPC/password spraying, SMTP/legacy auth probing, device and location spoofing, service-principal/app-secret abuse, and break‑glass account exploitation) intended to gain unauthorized access and persist in tenants.
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 contains multiple commands that require inserting tokens, passwords, and client_secrets verbatim into HTTP headers, POST bodies, and CLI arguments (and even prints creds like "WIN: $u:$p"), so an LLM following it would need to handle and output secrets directly.
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.
SKILL.md’s required workflow includes runtime scraping of outsider web/auth content via tools like `roadrecon` generating `capolicies.json` and includes user instructions to search internal third-party text sources (Confluence/SharePoint/git) for break-glass UPNs, which would be outsider-authored free text when those sources are not authored by the operating user.
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