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 'marketingcloudapis.com' mimics Salesforce Marketing Cloud's official API infrastructure. The name combines 'marketing cloud' (Salesforce's product name) with 'apis' to impersonate legitimate Salesforce Marketing Cloud API endpoints, likely targeting developers or automated systems that integrate with Salesforce services. (location: domain: marketingcloudapis.com)
malicious redirect
TLS connection failed entirely (connected=false, cert_valid=false, san_match=false) for a domain impersonating a cloud API service. A domain mimicking an API provider that cannot establish a valid TLS connection is highly suspicious — it may serve as a redirect intermediary, a credential-harvesting endpoint, or a typosquat that intercepts API credentials sent to it. (location: metadata.json: tls object)
credential harvesting
A domain constructed to resemble legitimate Marketing Cloud API infrastructure (marketingcloudapis.com) without valid TLS is a hallmark of a credential harvesting setup. Developers or CI/CD pipelines misconfiguring API base URLs could inadvertently send OAuth tokens, API keys, or session credentials to this domain. (location: domain: marketingcloudapis.com)
phishing
The domain is 3606 days old (~9.9 years) which lends it apparent legitimacy while the page returns no content and TLS is invalid. This combination — aged domain, no content, broken TLS — is consistent with a dormant phishing asset being held for activation or already used as a silent credential collector. (location: metadata.json: whois.domain_age_days=3606, tls.connected=false)
curl https://api.brin.sh/domain/marketingcloudapis.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
marketingcloudapis.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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