Is linkpenidabet.com safe?

suspiciouslow confidence
40/100

context safety score

A score of 40/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.

identity
5
behavior
100
content
40
graph
30

5 threat patterns detected

high

tls connection failed

Could not establish TLS connection

high

phishing

Domain 'linkpenidabet.com' follows a pattern commonly used in gambling/betting phishing lures ('penidabet' suggests a betting brand), with no TLS connection established (TLS connected=false, cert_valid=false), meaning credentials or user data would be transmitted insecurely. The combination of a relatively young domain (321 days), unknown hosting reputation, and failed TLS is consistent with a phishing or credential-harvesting site. (location: metadata.json: domain=linkpenidabet.com, tls.connected=false, tls.cert_valid=false)

high

credential harvesting

The site fails TLS validation entirely (connected=false, cert_valid=false, san_match=false), meaning any form submissions — login credentials, payment data, or personal information — would be sent without encryption. This is a hallmark of credential harvesting infrastructure designed to capture user input in plaintext. (location: metadata.json: tls object — connected=false, cert_valid=false, san_match=false)

medium

brand impersonation

The domain 'linkpenidabet.com' contains 'penidabet', which appears to impersonate or spoof a betting/gambling brand (possibly 'Penida Bet' or a similar regional brand). Use of 'link' as a subdomain-style prefix in the apex domain is a common technique to impersonate a legitimate brand's link-shortener or referral portal. (location: metadata.json: domain=linkpenidabet.com)

medium

social engineering

The domain name structure ('link' + brand-name + 'bet') is a recognized social engineering pattern used to create fake referral or bonus-claim pages that trick users into submitting credentials or making deposits to fraudulent gambling platforms. The 321-day-old domain with unknown hosting reputation supports this pattern. (location: metadata.json: domain=linkpenidabet.com, whois.domain_age_days=321, hosting.reputation=Unknown)

API

curl https://api.brin.sh/domain/linkpenidabet.com

FAQ: how to interpret this assessment

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

Is linkpenidabet.com safe for AI agents to use?

linkpenidabet.com currently scores 40/100 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.

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 4, 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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