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
brand impersonation
Domain 'tiktokpangle-b.us' uses the TikTok brand name ('tiktok') combined with 'pangle' (TikTok's advertising network) under a non-official TLD (.us), strongly impersonating TikTok/Pangle infrastructure. The legitimate TikTok Pangle ad network operates under bytedance.com or pangleglobal.com, not tiktokpangle-b.us. (location: domain: tiktokpangle-b.us)
phishing
The domain mimics TikTok's Pangle advertising platform (a known legitimate service) using a suspicious subdomain-style pattern ('tiktokpangle-b') on a .us TLD. This pattern is consistent with phishing infrastructure targeting advertisers, developers, or users of the TikTok Pangle ad network. (location: domain: tiktokpangle-b.us)
malicious redirect
TLS connection failed (connected=false, cert_valid=false) for the domain. A site that cannot establish a valid TLS connection but is still being served may be using HTTP-based redirects to route victims to credential harvesting or malware delivery pages without encrypted transport. (location: metadata.json: tls.connected=false, tls.cert_valid=false)
credential harvesting
The combination of a TikTok/Pangle brand-impersonating domain with failed TLS and empty page content is consistent with a credential harvesting setup where the landing page content may be dynamically injected or served conditionally (e.g., only to non-bot visitors), with the goal of stealing advertiser or developer login credentials. (location: domain: tiktokpangle-b.us; metadata.json: tls fields)
curl https://api.brin.sh/domain/tiktokpangle-b.usCommon questions teams ask before deciding whether to use this domain in agent workflows.
tiktokpangle-b.us 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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