context safety score
A score of 37/100 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 operates under the .fail TLD while presenting itself as an 'official' free movie download platform, using persuasive language ('number one entertainment website', 'Mp4Moviez Official Website') to build false legitimacy and lure users into downloading pirated content that may carry malware payloads. (location: page.html:13, page.html:149, page.html:438)
malicious redirect
External link to https://www.hdmaal.cat/ is embedded in the navigation tags section without nofollow/noopener attributes, pointing to an adult content aggregator site that may employ aggressive ad redirects or drive-by downloads. (location: page.html:163)
malicious redirect
External link to https://www.maza18.net/ (adult content site) included as a partner/affiliate link, likely redirecting users to sites with malicious ad networks or exploit kits. (location: page.html:418)
malicious redirect
External link to https://moviezmad.com/ included as a partner/affiliate link; this domain pattern is associated with piracy mirror networks that commonly employ pop-under redirects and ad-fraud networks. (location: page.html:423)
brand impersonation
The site impersonates the well-known 'Mp4Moviez' brand (originally at mp4moviez.com/.in) on the suspicious .fail TLD, using the exact branding, logo, and 'Official Website' claim to deceive users into believing this is the legitimate site, increasing risk of malware distribution under a trusted brand facade. (location: page.html:13, page.html:26, page.html:143, page.html:434)
social engineering
Telegram channel link (https://t.me/newupdts) embedded prominently in the header to funnel users into a Telegram group, a common vector for distributing malware-laced files, phishing links, and further social engineering outside the browser environment. (location: page.html:155)
hidden content
A commented-out search form targeting mp4moviez.company (a different domain) was left in the HTML source, indicating domain migration or cloaking infrastructure across multiple domains under the same operation. (location: page.html:164-167)
curl https://api.brin.sh/domain/mp4moviez.failCommon questions teams ask before deciding whether to use this domain in agent workflows.
mp4moviez.fail currently scores 37/100 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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