context safety score
A score of 46/100 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 'vigtm-meeting-tencent.com' impersonates Tencent Meeting (VooV Meeting / Tencent's video conferencing product) by combining 'tencent' with 'meeting' in the domain name. The 'vigtm' prefix appears to be an obfuscation of a legitimate Tencent Meeting identifier. This is a classic typosquat/brand-abuse pattern targeting users expecting the legitimate Tencent Meeting service. (location: domain: vigtm-meeting-tencent.com)
phishing
The domain combines a misspelled or disguised brand prefix ('vigtm') with 'meeting-tencent.com', a structure commonly used in phishing campaigns to harvest credentials from users who believe they are accessing the legitimate Tencent Meeting platform. TLS is not connected and certificate is invalid, meaning the site cannot establish a secure connection — consistent with a phishing staging site or an abandoned/malicious domain. (location: domain: vigtm-meeting-tencent.com; metadata.json TLS fields: connected=false, cert_valid=false)
credential harvesting
The combination of brand impersonation of Tencent Meeting (a widely-used enterprise video conferencing platform) with an invalid TLS certificate and unknown hosting reputation is consistent with a credential harvesting operation targeting corporate users' Tencent/WeChat Work credentials. (location: domain: vigtm-meeting-tencent.com; metadata.json: tls.connected=false, hosting.reputation=Unknown)
curl https://api.brin.sh/domain/vigtm-meeting-tencent.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
vigtm-meeting-tencent.com currently scores 46/100 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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