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
phishing
1 deceptive links where visible host does not match destination host
malicious redirect
An external JavaScript file is loaded from 'https://www.visionary-operation365.com/js/804719.js' — a domain with no apparent relationship to Jacobs (jacobs.com). The domain name 'visionary-operation365.com' is not a known analytics or CDN provider and follows a pattern commonly used by tracking/redirect injection or malvertising scripts. A companion hidden pixel also fires from the same domain. (location: page.html:1260-1261)
hidden content
A tracking pixel '<img src="https://www.visionary-operation365.com/804719.png" style="display:none;" />' is injected as a hidden image from the suspicious third-party domain visionary-operation365.com. The image is styled display:none, making it invisible to users while silently beaconing to the external server. (location: page-text.txt:968 / page.html:1261)
curl https://api.brin.sh/domain/jacobs.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
jacobs.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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