context safety score
A score of 48/100 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
credential harvesting
credential form posts to an off-domain endpoint (may be legitimate SSO/OAuth)
credential harvesting
Login form collects email/username credentials on a domain (system-monitor.com) that does not match the OAuth redirect_uri target (www.system-monitor.com/dashboard/msp_sso.php). The form action encodes an OAuth authorization callback with client_id=949669a0-062a-4848-85c4-8243a63ddb1f and redirects to an SSO endpoint, harvesting credentials as part of a login flow that may relay them to a third-party MSP dashboard. (location: page.html:79 - form action /Account/LoginEmail with redirect_uri=https://www.system-monitor.com/dashboard/msp_sso.php)
phishing
Page title is simply 'Enter your email' with a minimal login form and no visible branding, company name, logo, or identifying information. This is a common phishing page pattern designed to appear as a generic SSO portal while obscuring its true identity. The /SSO_favicons/ path suggests an attempt to present SSO legitimacy without declaring which service is being authenticated. (location: page.html:50 - <title>Enter your email</title> and page.html:73-98 - login form body)
brand impersonation
The page uses OAuth/OIDC parameters (response_type=code, scope=openid email profile offline_access) and an SSO favicon path to impersonate a legitimate SSO/identity provider portal, without any visible brand attribution. The client_id embedded in the form action is a hardcoded GUID that cannot be verified by the user. (location: page.html:79 - OAuth parameters in form action: client_id=949669a0-062a-4848-85c4-8243a63ddb1f, response_type=code, scope=openid email profile offline_access)
curl https://api.brin.sh/domain/system-monitor.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
system-monitor.com 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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