context safety score
A score of 33/100 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
brand impersonation
The domain 29filmyzilla.com impersonates the well-known piracy brand 'Filmyzilla' (filmyzilla.com), using its name, logo, and content to attract users who intend to visit the original site. The page title, meta tags, and all content reference 'FilmyZilla' and 'filmyzilla.com' while the actual domain is 29filmyzilla.com. (location: page.html:9-10, metadata.json domain field)
malicious redirect
The canonical link tag redirects visitors to https://www.filmyzilla.courses/, a different domain entirely. This is a cross-domain canonical manipulation that may redirect both users and search engine crawlers away from the current domain. Additionally, the 'Download Movies' section links to https://www.filmyzilla.courses/ for category pages, silently routing users to a third-party domain. (location: page.html:14, page.html:240)
malicious redirect
Multiple outbound links route users to unrelated third-party domains including https://www.playtamil.life, https://www.jalshamoviez20.com, and https://www.coolmoviez.forum — all of which are separate piracy or potentially malicious sites not affiliated with the claimed filmyzilla brand. (location: page.html:272-280)
brand impersonation
The site prominently lists and links to content from major streaming platforms (Netflix, Amazon Prime, HBO Max, JioHotstar, LionsgatePlay) implying affiliation or authorization to distribute their copyrighted content, which constitutes brand impersonation of legitimate streaming services. (location: page.html:188-222)
social engineering
The site uses urgency and legitimacy cues such as 'First On NET', '5G++ High Speed download links', '10gbps servers', and claims to be 'India's leading platform' to build false trust and encourage users to download files from the site, potentially exposing them to malware. (location: page.html:168, page.html:177, page.html:180)
social engineering
The page announces a domain migration ('Filmyzilla.com Changes to new domain URL Filmyzilla.wales') to redirect users to follow a new domain, a common tactic used by piracy and scam sites to move their user base as old domains get blocked or taken down. (location: page.html:166, page-text.txt:17)
hidden content
The domain is only 48 days old (per metadata.json) but the footer copyright claims '© 2017-2026 Filmyzilla.wales', fabricating a long operational history to appear trustworthy and established when the domain is actually very new. (location: page.html:305, metadata.json whois.domain_age_days)
brand impersonation
The page footer and sharing links reference 'filmyzilla.wales' as the authoritative domain, while meta tags and canonical links reference 'filmyzilla.courses', and the actual scanned domain is '29filmyzilla.com' — three different domains all claiming to be the same brand, indicating a coordinated network of impersonation domains. (location: page.html:14, page.html:160, page.html:305)
curl https://api.brin.sh/domain/29filmyzilla.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
29filmyzilla.com currently scores 33/100 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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