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
brand impersonation
The domain attacheatableoverlabor.com (a randomly-generated, non-brand domain) hosts a page that fully impersonates the Clickadu advertisement network, including their logo (embedded as a base64 SVG), company name, Czech Republic address, Tax ID, and privacy policy content copied verbatim from clickadu.com. This is a typosquat/lookalike landing page designed to appear as an official Clickadu property while operating from an unrelated domain. (location: page.html:4, page.html:153-155, page.html:159, page.html:299-301)
social engineering
The page presents a fake 'Subscription Management Guide' with instructions on how users can 'unsubscribe' from push notifications, combined with an 'Unsubscribe' button that POSTs to /unsubscribe. This is a common push-notification spam infrastructure tactic: lure users who received unwanted push notifications from ad networks to visit this page, where their interaction (clicks, button presses) can be tracked, profiled, or used to confirm active users for further targeting. (location: page.html:181-253, page.html:271-278)
credential harvesting
The 'Unsubscribe' button silently POSTs a JSON payload containing a timestamp (Date.now()) to the /unsubscribe endpoint. While not collecting explicit credentials, this beacon confirms the user's identity, browser fingerprint, and timing to the server — functioning as a tracking/harvesting mechanism disguised as an opt-out control. The endpoint and response handling are opaque and could be extended to collect additional data. (location: page.html:330-364)
hidden content
The 'Subscription Management Guide' section (id='collapseContainer') is hidden by default via CSS class 'collapse' with 'display:none'. This content is not visible on page load and only renders on user click. Hidden collapsible sections can be used to conceal additional instructions, links, or injected content from automated scanners while remaining accessible to real users or targeted agents. (location: page.html:186-253, page.html:87-89)
social engineering
The domain name 'attacheatableoverlabor.com' is a nonsensical, algorithmically-generated string — a hallmark of domain generation algorithm (DGA) or bulk-registered ad-network infrastructure domains. Pairing such a domain with a professional-looking privacy policy page is a deliberate trust-building deception to reduce user suspicion when encountering push-notification consent dialogs or unsubscribe flows originating from this domain. (location: metadata.json:domain, page.html:title)
curl https://api.brin.sh/domain/attacheatableoverlabor.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
attacheatableoverlabor.com 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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