Is drakorid.co safe?

suspiciouslow confidence
35/100

context safety score

A score of 35/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.

identity
60
behavior
100
content
1
graph
30

9 threat patterns detected

medium

encoded payload

suspicious base64-like blobs detected in page content

high

js obfuscation

JavaScript uses Function constructor for runtime code generation

high

brand impersonation

The site operates as 'drakorid.co' presenting itself as 'Drakor.id' — a well-known Indonesian Korean drama streaming platform. The domain 'drakorid.co' is a typosquat/impersonation of the legitimate 'drakor.id' domain, using a '.co' TLD to mimic the authentic brand, including copying its logo, name, and UI structure. (location: page.html:23, page.html:38, metadata.json (domain: drakorid.co))

high

credential harvesting

The site presents login and registration flows (/login, /register) under the impersonated 'Drakor.id' brand on a lookalike domain. Users believing they are on the legitimate drakor.id site may submit real credentials to this copycat site, enabling credential harvesting. (location: page.html:282-300, page.html:347-352)

medium

social engineering

The site mimics a trusted streaming platform (Drakor.id) with full UI, branding, section names, and navigation — including a sidebar showing 'Belum Login' (Not Logged In) state to prompt users to authenticate. This creates false trust to manipulate users into logging in and registering. (location: page.html:254-267, page.html:281-300)

medium

hidden content

A hidden VIP badge image is embedded in the profile box with 'display: none' inline style. This element is conditionally revealed and may be used to manipulate UI state or deceive users about account privilege status. (location: page.html:260)

low

hidden content

Intercom live chat is initialized with 'hide_default_launcher: true', concealing the chat widget from users while it remains active and capable of collecting interaction data or delivering unsolicited messages. (location: page.html:418)

low

prompt injection

An API token is hardcoded and exposed in client-side JavaScript: 'token_now = "5cfxk7bVWYhzhQEhyrS_ZLkRP3gMZH0..."'. This token is sent to server-side PHP endpoints via POST. If an AI agent processes or executes this page's scripts, it may inadvertently transmit this token or be misled by dynamically injected AJAX content from these endpoints. (location: page.html:432)

low

malicious redirect

All content sections (slider, ongoing, trending, favorites, categories) are loaded dynamically via AJAX from PHP endpoints on the same domain. The responses are directly injected into the DOM via '.html(response)' without sanitization, enabling potential server-side injection of redirect or malicious payload content into the page at runtime. (location: page.html:439, page.html:468-469)

API

curl https://api.brin.sh/domain/drakorid.co

FAQ: how to interpret this assessment

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

Is drakorid.co safe for AI agents to use?

drakorid.co currently scores 35/100 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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