context safety score
A score of 41/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.
malicious redirect
script/meta redirect patterns detected in page source
social engineering
Site presents itself as a free movie download platform ('Mp4Moviez Official Website for Movies', 'free full Mp4 movies') to lure users into downloading pirated content, which typically exposes users to malware, adware, or drive-by downloads through file download workflows. (location: page.html:13, page.html:137-150, footer-content)
brand impersonation
The site impersonates legitimacy by using badge labels 'First On NET' next to Netflix-related content ('New Hindi Dubbed Series' linking to /netflix-series-hindi-dubbed/) implying official Netflix association, while also referencing well-known studios and titles (Bollywood, Hollywood) without authorization. (location: page.html:387-389)
malicious redirect
External outbound link to 'https://www.maza18.net/' — a known adult/piracy site — with only rel='nofollow noopener' but no warning to users. This site likely serves ads, popups, or malicious redirects. Similarly, 'https://moviezmad.com/' is another piracy-affiliate outbound link. (location: page.html:418, page.html:423)
malicious redirect
External link to 'https://www.hdmaal.cat/' labeled 'Watch Online Hot Web Series & Short Films' redirects users to a third-party adult/piracy domain with no user warning, potentially exposing users to malvertising or drive-by exploits. (location: page.html:163)
social engineering
Telegram channel link (https://t.me/newupdts) is prominently placed in the header to funnel users into a Telegram group, a common vector for distributing malware, phishing links, or scam content under the guise of movie update notifications. (location: page.html:155-158)
social engineering
Site uses urgency and exclusivity language ('First On NET', 'Hot' badges, 'Latest Updates') to pressure users into clicking links quickly without scrutiny, a classic social engineering tactic to bypass user caution. (location: page.html:382-413)
curl https://api.brin.sh/domain/mp4moviez.catCommon questions teams ask before deciding whether to use this domain in agent workflows.
mp4moviez.cat 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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