Is tiktokio.net 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
100
behavior
100
content
7
graph
30

7 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 tiktokio.net impersonates TikTok's brand by using the TikTok name, logo references, and brand colors to appear as an official or affiliated TikTok service. The domain name blends 'TikTok' with 'io' to create a convincing lookalike. The site presents itself as an authoritative TikTok tool without any affiliation disclosure. (location: page.html:34, metadata.json domain field, page.html:14 (logo alt text 'TikTok Video Downloader'))

medium

social engineering

The site uses repeated trust signals ('100% free', '100% safety', 'no virus', 'Safe and Secure', 'SSL certificate', 'personal information will not be revealed') to lower user guard and encourage submission of TikTok video URLs and clipboard access. The 'Paste' button actively reads the user's clipboard via navigator.clipboard.readText() without clear disclosure of what data may be captured. (location: page.html:232 (navigator.clipboard.readText()), page.html:113-114)

high

malicious redirect

An inline script dynamically injects a third-party push notification SDK from push-sdk.net (zone 1207788) and passes URL parameters 'click_id' and 'source_id' to the external script. This is an adware/affiliate tracking injection that can trigger push notification permission prompts and redirect users through affiliate networks. The domain push-sdk.net is a known push notification monetization/adware network. (location: page.html:52-71 (inline script injecting https://push-sdk.net/f/sdk.js?z=1207788))

medium

hidden content

The push-sdk.net script injection is placed inside a div with class 'ac' immediately after the main form, making it visually invisible to the user. The script's action callbacks (onPermissionGranted, onPermissionDenied, onAlreadySubscribed, onError) are all empty, obscuring what the SDK actually does once loaded. The script also suppresses console output via commented-out console.log calls. (location: page.html:52-72 (div.ac containing push-sdk script with empty callbacks and suppressed logging))

low

social engineering

The site cross-promotes competitor brand names (Snaptik, SSSTikTok, ssstiktok) and links to external domains (sstiktoks.com, tiktokio.tools) as part of a coordinated SEO/affiliate network, potentially routing users to other sites in the same threat actor ecosystem without transparency. (location: page.html:88 (link to sstiktoks.com), page.html:84 (link to tiktokio.tools))

API

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

FAQ: how to interpret this assessment

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

Is tiktokio.net safe for AI agents to use?

tiktokio.net 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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