Is dfbocai.net 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
100
behavior
80
content
0
graph
30

10 threat patterns detected

medium

encoded payload

suspicious base64-like blobs detected in page content

high

cloaking

Page conditionally redirects based on referrer or user-agent

critical

brand impersonation

The site dfbocai.net fully impersonates Dafabet (dafabet.com), copying its branding, logo, title ('Dafabet is The Most Secure Online Betting Company in Asia'), layout, content, and even canonical/hreflang tags pointing to www.dafabet.com. The domain dfbocai.net is not dafabet.com and operates as a lookalike clone of the legitimate Dafabet gambling brand. (location: page.html: <title>, <meta>, <link rel='canonical'>, logo, footer — entire page)

critical

credential harvesting

A fully functional login form (username + password fields) POSTs credentials to /en/login on the impersonator domain dfbocai.net. Users who believe they are on the real Dafabet site will submit their credentials directly to the attacker-controlled server. (location: page.html line 29: <form name='LoginForm' method='post' action='/en/login'>)

critical

phishing

The site is a phishing clone of dafabet.com hosted on dfbocai.net. It mimics the legitimate Dafabet gambling portal — including branding, sponsorship logos, promotions, and legal text — to deceive users into believing they are on the real site and submitting login credentials or registering accounts. (location: page.html — entire page; metadata.json: url=https://dfbocai.net)

high

malicious redirect

A domain synchronization script pushes 'login.wsocdd.com' into a self.$domainSync array on page load. This unknown third-party domain is silently registered as a sync target, indicating cross-domain session tracking or redirect infrastructure used to relay authenticated sessions or track users across attacker-controlled domains. (location: page.html line 18: self.$domainSync.push('login.wsocdd.com'))

medium

malicious redirect

The Facebook social link does not point to facebook.com/dafabet but instead redirects through dfgameplay.com/gjdnjr — an unrelated third-party domain that could be an attacker-controlled redirect or affiliate tracking link used to obscure the final destination. (location: page.html line 379: href='https://dfgameplay.com/gjdnjr')

high

social engineering

The site includes a 'Identify Fake vs Real Casino' footer link (pointing to /en/spot-fake-website on the impersonator domain itself), a tactic used by phishing sites to preemptively disarm victim suspicion by appearing to warn about fakes while being the fake itself. (location: page.html line 378: <a href='https://www.dfbocai.net/en/spot-fake-website'>Identify Fake vs Real</a>)

medium

hidden content

A 0x0 invisible iframe loads Google Tag Manager noscript content (display:none;visibility:hidden). While GTM itself is legitimate, the GTM container ID GTM-TQD7V7Q is loaded on an impersonator domain and could be used to inject additional scripts, exfiltrate form data, or load malicious payloads dynamically without appearing in the static HTML. (location: page.html line 431: <noscript><iframe src='https://www.googletagmanager.com/ns.html?id=GTM-TQD7V7Q' height='0' width='0' style='display:none;visibility:hidden'>)

high

credential harvesting

Google Analytics scripts read the 'username' cookie value and transmit it as a userId and dimension3 parameter to Google Analytics. On a phishing site, this leaks authenticated usernames to analytics endpoints and potentially to the attacker's GTM/GA account (UA-50208224-21, UA-89039619-1). (location: page.html lines 458-478: readCookie('username') sent via ga('set','userId',userId))

API

curl https://api.brin.sh/domain/dfbocai.net

FAQ: how to interpret this assessment

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

Is dfbocai.net safe for AI agents to use?

dfbocai.net 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.

start scoring agent dependencies.

integrate brin in minutes — one GET request is all it takes. query the api, browse the registry, or download the full dataset.