context safety score
A score of 78/100 indicates minor risk signals were detected. The entity may be legitimate but has characteristics that warrant attention.
credential harvesting
Two modal login forms collect email and password credentials (#blockUILogin and #accoreg). The forms use JavaScript-based submission (accesslog class) with no visible form action attribute, meaning credentials are submitted via JS to an unverifiable endpoint. The login modals are triggered by site interactions such as adding favorites, not navigated to via a dedicated login page, reducing user scrutiny. (location: page.html:1919-1937, 1958-1977)
social engineering
The site is an adult escort/gigolo classified listing service that prominently uses urgency and novelty language ('PRIMA VOLTA IN ITALIA', 'APPENA ARRIVATO IN CITTA', 'Novità!!!') to manipulate users into contacting individuals. Phone numbers are directly exposed in tooltips and modals to drive off-platform contact, which is a common pattern used in sex-work scam operations and social engineering. (location: page.html:700-751, 1005-1007, 1481)
malicious redirect
The geolocation button captures precise user coordinates (latitude/longitude) and redirects the user to /geolocation.asp with those coordinates as URL parameters. This silently transmits precise physical location data server-side without explicit informed consent beyond a browser permission dialog. The redirect is triggered by a user UI click but the data exfiltration to the server is non-transparent. (location: page.html:611-617)
hidden content
A Cloudflare challenge-platform script is injected via a dynamically created hidden iframe (height=1, width=1, position=absolute, visibility=hidden) at the bottom of the page body. While this is a known Cloudflare bot-detection mechanism, the pattern of injecting scripts into a hidden invisible iframe is a technique also used for covert code execution and tracking. The inline script is minified/obfuscated. (location: page.html:1989)
credential harvesting
The 'Accedi o registrati' navbar link points to https://www.piccoletrasgressioni.it/registrazione.asp, a cross-domain registration page on a different domain (piccoletrasgressioni.it) than the current site (chieti.annunciboysitalia.it). Credentials entered on the main site's login modals may also be processed by a cross-domain backend, though the relationship between the domains appears to be intentional network affiliation. (location: page.html:636)
curl https://api.brin.sh/domain/chieti.annunciboysitalia.itCommon questions teams ask before deciding whether to use this domain in agent workflows.
chieti.annunciboysitalia.it currently scores 78/100 with a caution verdict and medium 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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