Is cdn.group.renault.com safe?

cautionmedium confidence
76/100

context safety score

A score of 76/100 indicates minor risk signals were detected. The entity may be legitimate but has characteristics that warrant attention.

identity
100
behavior
100
content
64
graph
61

4 threat patterns detected

medium

credential harvesting

The GIGYA_URL is malformed: 'https://gigya-prod-eu1./js/gigya.js' — the hostname is incomplete (missing the TLD after 'gigya-prod-eu1.'), which could cause authentication tokens and session credentials to be sent to an unresolvable or potentially hijackable domain. The Gigya SSO integration handles user authentication (login, registration, password reset) for the Renault platform. (location: page.html:108, window.GIGYA_URL)

low

hidden content

Three suspicious base64 blobs were flagged by Tier 2 heuristics. One confirmed base64 value found in APP_CONFIG: the evsmartrouting API key 'UmVuYXVsdFdlYnNpdGU6WTBITTVxTnI3MktxWGZUVXBWeTI=' decodes to 'RenaultWebsite:Y0HM5qNr72KqXfTUpVy2', which is a plaintext Basic Auth credential (username:password) embedded in the page source and exposed to all clients. (location: page.html:37, window.APP_CONFIG.api.evsmartrouting.key)

high

credential harvesting

API keys and secrets are exposed in plaintext in client-side JavaScript: Google Maps API key ('AIzaSyCAPAp5G88iHILzULTPHRsqcn_FbB-z-Kg'), Google reCAPTCHA site key ('6LcygSoaAAAAAMBmkQItlJmAk3gyhT5wXFEqg2JD'), reCAPTCHA Enterprise key ('6LdJ4aAfAAAAAM4havYH4OwOvzZmUyqIvCtM0wUr'), and a Basic Auth credential for the EV smart routing API embedded as base64 ('RenaultWebsite:Y0HM5qNr72KqXfTUpVy2'). These allow abuse of Renault's third-party service integrations. (location: page.html:37, window.APP_CONFIG)

low

malicious redirect

The redirectOld() function conditionally redirects users to '/oldbrowser.html' based on user-agent string inspection. The redirect is bypassed only if the user-agent contains 'bot' or 'Preview', meaning automated scanning agents without those strings in their UA would be redirected. This is a bot/agent evasion technique that could mask different content served to real users versus scanners. (location: page.html:74-92, redirectOld() function)

API

curl https://api.brin.sh/domain/cdn.group.renault.com

FAQ: how to interpret this assessment

Common questions teams ask before deciding whether to use this domain in agent workflows.

Is cdn.group.renault.com safe for AI agents to use?

cdn.group.renault.com currently scores 76/100 with a caution 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.

How should I interpret the score and verdict?

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.

How does brin compute this domain score?

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.

What do identity, behavior, content, and graph mean for this domain?

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.

Why does brin scan packages, repos, skills, MCP servers, pages, and commits?

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.

Can I rely on a safe verdict as a full security guarantee?

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.

When should I re-check before using an entity?

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.

Last Scanned

March 25, 2026

Verdict Scale

safe80–100
caution50–79
suspicious20–49
dangerous0–19

Disclaimer

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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