Is docfactor-be6bd.firebaseapp.com safe?

suspiciouslow confidence
43/100

context safety score

A score of 43/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.

identity
100
behavior
100
content
0
graph
30

5 threat patterns detected

critical

malicious redirect

Page performs an immediate meta-refresh redirect (content="0; URL=...") to an external domain 'fr.tc-hs.org' with no user interaction required. The redirect fires instantly on page load. (location: page.html:5 - <meta http-equiv="refresh" content="0; URL=https://fr.tc-hs.org?iduser=TkRJMU1RPT0=&a5=C7Qxf" />)

critical

credential harvesting

The redirect URL contains a query parameter 'iduser=TkRJMU1RPT0=' which decodes from Base64 to 'NDI1MQ==' (a further Base64-encoded value resolving to '4251'), indicating a tracked user identifier being passed to an external site — consistent with credential harvesting or account takeover infrastructure. (location: page.html:5 - iduser=TkRJMU1RPT0= in redirect URL)

high

obfuscated code

The 'iduser' parameter value 'TkRJMU1RPT0=' is double Base64-encoded, obfuscating a user tracking token. An additional opaque parameter 'a5=C7Qxf' is also appended, suggesting obfuscated tracking or session correlation passed to the destination phishing infrastructure. (location: page.html:5 - query string parameters iduser and a5 in redirect URL)

critical

phishing

The site is hosted on a legitimate Firebase subdomain (docfactor-be6bd.firebaseapp.com) to lend credibility, but immediately redirects victims to 'fr.tc-hs.org', an unrelated external domain. This is a classic phishing trampoline pattern abusing trusted cloud hosting to evade reputation filters. (location: page.html:5 - meta-refresh to https://fr.tc-hs.org)

high

hidden content

The page body is completely empty with no visible content (page-text.txt contains only whitespace), while the only functional element is the hidden meta-refresh redirect in the <head>. This conceals the malicious redirect from casual inspection and makes the page appear blank to users. (location: page.html:7-9 - empty <body>; page-text.txt lines 1-3)

API

curl https://api.brin.sh/domain/docfactor-be6bd.firebaseapp.com

FAQ: how to interpret this assessment

Common questions teams ask before deciding whether to use this domain in agent workflows.

Is docfactor-be6bd.firebaseapp.com safe for AI agents to use?

docfactor-be6bd.firebaseapp.com currently scores 43/100 with a suspicious verdict and low confidence. The goal is to protect agents from high-risk context before they act on it. Treat this as a decision signal: higher scores suggest lower observed risk, while lower scores mean you should add review or block this domain.

How should I interpret the score and verdict?

Use the score as a policy threshold: 80–100 is safe, 50–79 is caution, 20–49 is suspicious, and 0–19 is dangerous. Teams often auto-allow safe, require human review for caution/suspicious, and block dangerous.

How does brin compute this domain score?

brin evaluates four dimensions: identity (source trust), behavior (runtime patterns), content (malicious instructions), and graph (relationship risk). Analysis runs in tiers: static signals, deterministic pattern checks, then AI semantic analysis when needed.

What do identity, behavior, content, and graph mean for this domain?

Identity checks source trust, behavior checks unusual runtime patterns, content checks for malicious instructions, and graph checks risky relationships to other entities. Looking at sub-scores helps you understand why an entity passed or failed.

Why does brin scan packages, repos, skills, MCP servers, pages, and commits?

brin performs risk assessments on external context before it reaches an AI agent. It scores that context for threats like prompt injection, hijacking, credential harvesting, and supply chain attacks, so teams can decide whether to block, review, or proceed safely.

Can I rely on a safe verdict as a full security guarantee?

No. A safe verdict means no significant risk signals were detected in this scan. It is not a formal guarantee; assessments are automated and point-in-time, so combine scores with your own controls and periodic re-checks.

When should I re-check before using an entity?

Re-check before high-impact actions such as installs, upgrades, connecting MCP servers, executing remote code, or granting secrets. Use the API in CI or runtime gates so decisions are based on the latest scan.

Learn more in threat detection docs, how scoring works, and the API overview.

Last Scanned

March 6, 2026

Verdict Scale

safe80–100
caution50–79
suspicious20–49
dangerous0–19

Trust Graph

Disclaimer

Assessments are automated and may contain errors. Findings are risk indicators, not confirmed threats. This is a point-in-time assessment; security posture can change.

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