context safety score
A score of 48/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.
tls connection failed
Could not establish TLS connection
malicious redirect
TLS connection failed (connected=false, cert_valid=false, san_match=false) for acelink.cc. The site cannot be reached over HTTPS, suggesting the domain may be parked, under construction, or actively redirecting traffic through non-standard means. Combined with unknown domain age and unknown hosting reputation, this pattern is consistent with a newly registered or recently repurposed domain used in redirect chains. (location: metadata.json: tls block)
phishing
Domain acelink.cc has unknown WHOIS age, redacted privacy status, and unknown hosting reputation with no TLS certificate. The .cc TLD (Cocos Islands) is frequently abused for phishing and malicious campaigns due to low registration costs and minimal oversight. The complete absence of page content suggests the site may serve different content based on user-agent, referrer, or geolocation — a common cloaking technique used in phishing infrastructure. (location: metadata.json, page.html (empty), page-text.txt (empty))
hidden content
All content files (page.html, page-text.txt, page-hidden.txt) are completely empty despite the domain being live enough to be scanned. This is consistent with cloaking: serving empty or benign content to automated scanners while delivering malicious content to targeted human visitors based on referrer, user-agent, IP geolocation, or other fingerprinting signals. (location: page.html, page-text.txt, page-hidden.txt (all empty))
curl https://api.brin.sh/domain/acelink.ccCommon questions teams ask before deciding whether to use this domain in agent workflows.
acelink.cc currently scores 48/100 with a suspicious 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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