Is tripadvisor.in safe?

suspiciousmedium confidence
45/100

context safety score

A score of 45/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.

identity
60
behavior
100
content
27
graph
30

6 threat patterns detected

medium

encoded payload

suspicious base64-like blobs detected in page content

high

brand impersonation

The domain tripadvisor.in mimics the well-known TripAdvisor brand (tripadvisor.com) using a country-code TLD (.in for India) rather than the legitimate .com domain. This is a classic brand impersonation pattern used to deceive users into believing they are on the official TripAdvisor site. (location: domain: tripadvisor.in)

high

malicious redirect

The page immediately loads an external script from ct.captcha-delivery.com and configures a challenge via geo.captcha-delivery.com. These are not TripAdvisor infrastructure. The entire page content is a bot/human detection gate that redirects visitors through a third-party captcha delivery network, which can be used to fingerprint, track, or selectively redirect users based on their profile. (location: page.html: <script src="https://ct.captcha-delivery.com/i.js">)

medium

credential harvesting

A session cookie value is embedded directly in the page's JavaScript payload and sent to geo.captcha-delivery.com. The cookie string ('uuwkAgAnZUQnzNqVBdnGr6EylvAV11MZ6qx9c~...') is exposed in plaintext in the HTML, and the captcha challenge infrastructure at captcha-delivery.com can harvest session/browser fingerprint data from visitors before any actual content is served. (location: page.html: dd.cookie value passed to geo.captcha-delivery.com)

medium

obfuscated code

The page contains no legitimate TripAdvisor content. Instead, it serves only an obfuscated JavaScript challenge object (variable 'dd') with encoded fields including a hash ('hsh'), encrypted token ('e'), and session cookie. The animation CSS hides the 'Please enable JS' message for 1.5 seconds to mask the redirect mechanics from casual inspection. (location: page.html: <style>#cmsg{animation: A 1.5s;}@keyframes A{...}</style> and dd object)

low

social engineering

The visible message 'Please enable JS and disable any ad blocker' social-engineers users into disabling browser security protections (ad blockers often also block malicious scripts and trackers), making them more vulnerable to subsequent tracking or malicious payloads delivered after the captcha gate. (location: page.html / page-text.txt: 'Please enable JS and disable any ad blocker')

API

curl https://api.brin.sh/domain/tripadvisor.in

FAQ: how to interpret this assessment

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

Is tripadvisor.in safe for AI agents to use?

tripadvisor.in currently scores 45/100 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.

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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