context safety score
A score of 41/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.
encoded payload
suspicious base64-like blobs detected in page content
cloaking
Page checks user-agent for bot/crawler strings to serve different content
cloaking
Page conditionally redirects based on referrer or user-agent
cloaking
Page loads content in transparent or zero-size iframe overlay
js obfuscation
JavaScript uses Function constructor for runtime code generation
social engineering
Navigation menu contains affiliate links labeled '🍑AI Sex Slut' (https://www.cmonbae.com/?union_id=MjA5) and banner ads with the same destination (union_id=MjA4), using sexualized AI branding to lure clicks to external adult monetization platforms. The emoji-laden label is designed to attract impulsive clicks, including from automated agents browsing the site. (location: page.html:272-273, lines 343-344 (mobile menu), lines 426-427 (banner ads))
malicious redirect
Third-party ad script from //cdn.tsyndicate.com (Trafficstarts ad network) loaded asynchronously with a spot ID and session/delay parameters. Trafficstarts is a known low-quality ad network associated with forced redirects, pop-unders, and malvertising. The iframe at //tsyndicate.com/iframes2/ded08b0f319e49e9b194b623838988f4.html also contains an unresolved placeholder '{extid}' in the URL, suggesting dynamic visitor tracking or redirect chaining. (location: page.html:160-161, 424, 442)
malicious redirect
Third-party ad script loaded from //lm.ablockoverfix.com (Galaksion ad network). The domain name 'ablockoverfix.com' is deceptive — it mimics an 'ad block fix' utility to bypass ad blockers. Galaksion is associated with aggressive redirect ads and pop-under traffic. The script uses data-cfasync='false' to bypass Cloudflare's rocket loader, ensuring it executes regardless of page optimization controls. (location: page.html:164-165)
malicious redirect
Third-party ad script loaded from //acscdn.com/script/aclib.js (Adcash network) in the sidebar widget, invoking aclib.runBanner({zoneId:'8878478'}). Adcash is associated with aggressive redirect and pop-under ads on adult content sites. (location: page.html:570-576)
social engineering
External link to https://comics18.cam/ (live sex cam site) embedded in the main navigation using the label 'Sexo en Vivo💦' with a target='_blank' attribute. The .cam TLD and context suggest a sister monetization site, using emotional/visual emoji triggers to drive traffic to a live cam platform, which commonly employs high-pressure upsell and fake-intimacy social engineering tactics. (location: page.html:274, line 345)
brand impersonation
The site uses copyrighted characters from well-known franchises (Disney, Nickelodeon, Dragon Ball, Naruto, Pokemon, Rick and Morty, Overwatch, X-Men, My Hero Academia, The Loud House, etc.) as content categories and post titles to attract users searching for those brands. This constitutes brand impersonation through unauthorized use of trademarked characters to drive traffic to an adult content site. (location: page.html:238-249, page-text.txt:31-45, post article tags throughout HTML)
curl https://api.brin.sh/domain/comics18.orgCommon questions teams ask before deciding whether to use this domain in agent workflows.
comics18.org currently scores 41/100 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.
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.
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.
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.
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.
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.
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.
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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