context safety score
A score of 43/100 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
malicious redirect
script/meta redirect patterns detected in page source
cloaking
Page conditionally redirects based on referrer or user-agent
social engineering
Aggressive new-user popup claims 'You have won an $20 coupon package' to pressure visitors into registering, using false prize framing as a persuasion tactic. (location: page.html:1316, page-text.txt:909)
hidden content
Modal dialogs with class 'display:none' contain cookie consent UI and promotional popups that are rendered invisibly until triggered by JavaScript, including a birthday coupon modal and a system-maintenance notice modal. While standard practice, the hidden maintenance notice references a phone number (001 3235700368) and email (order@banggood.com) that could be spoofed in a cloned phishing site. (location: page.html:729, 1297, 1324)
hidden content
A feedback sidebar element is explicitly hidden via inline style (style='display:none;') but remains in the DOM and could be activated by injected scripts. (location: page.html:1120)
social engineering
Maintenance notice modal dated 3-Sept-21 is still present in the live page, targeting 'Danish customers' with contact details that may no longer be valid, potentially misdirecting support inquiries. (location: page.html:1327-1341, page-text.txt:920-933)
hidden content
A script tag at the very end of the body loads JavaScript from a heavily obfuscated path '/H0Ilh3/FsFx/X5inP/ViUEZ/Entu/miiEDXtzf6JV2XzE/CWFtAQ/WwsNK00T/MUQB' with no async/defer attributes. The path is structurally atypical compared to all other script includes and does not match any known Banggood CDN pattern, warranting further inspection. (location: page.html:1619)
obfuscated code
Terminal script src uses a deeply randomized path segment ('/H0Ilh3/FsFx/X5inP/ViUEZ/Entu/miiEDXtzf6JV2XzE/CWFtAQ/WwsNK00T/MUQB') inconsistent with all other static asset paths (s.staticbg.com, /cache/static_cache_read/, etc.). This pattern is characteristic of obfuscated or dynamically generated malicious script injection. (location: page.html:1619)
social engineering
Device fingerprinting script silently tracks user agent and device ID on page load, and on failure exfiltrates error metadata (including full userAgent string) to a third-party domain www.tieszhu.com via dynamically injected script tag with no user disclosure. (location: page.html:46-57)
hidden content
On error, the device-ID initialization script loads a beacon to 'https://www.tieszhu.com/e.html' including deviceIdError, deviceIdIndex, and deviceIdUserAgent parameters, silently sending browser fingerprint data to a non-Banggood third-party domain. (location: page.html:49)
curl https://api.brin.sh/domain/banggood.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
banggood.com currently scores 43/100 with a suspicious verdict and low 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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