Is kaotic.com safe?

suspiciouslow confidence
43/100

context safety score

A score of 43/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.

identity
100
behavior
100
content
0
graph
30

7 threat patterns detected

medium

encoded payload

suspicious base64-like blobs detected in page content

high

cloaking

Page loads content in transparent or zero-size iframe overlay

high

js obfuscation

JavaScript contains heavy hex-escape encoding typical of obfuscation

high

obfuscated code

A large heavily obfuscated JavaScript block using the _0x4a95 array-rotation pattern is present at the bottom of the page, loaded from the page itself. The obfuscation uses string-array rotation with hex-encoded identifiers, a common technique to hide malicious payloads such as ad-fraud scripts, cryptominers, or redirect logic from static analysis. The function name _0x4a95 and its companion decoder are classic fingerprints of tools like javascript-obfuscator used for malicious purposes. (location: page.html:1456-1458, page-text.txt:1354-1356)

medium

malicious redirect

External ad iframes are loaded from cdn.sinparty.com (an adult affiliate network) directly inside the page body. Three separate iframes with tracking parameters (linkId, sourceId, tenantId, affS1, affS2) are embedded. Additionally, multiple outbound links use an opaque kaotic.com redirect/hash URL pattern (data-link-hash containing a base64-like token at https://kaotic.com/AOxMDN|...) before forwarding to efukt.com, obscuring the final destination from users and security tools. (location: page.html:852,858,863,866,868,1288,1294,1299,1302,1304,1343,1352,1360)

medium

hidden content

Multiple JavaScript blocks for ad iframes (sinparty.com banners) contain a 'return 1;' statement immediately after the function opening, which dead-codes the iframe-injection logic in those script blocks. The iframes are instead loaded via inline HTML. This dual-path pattern (dead JS + live HTML) is a technique to confuse automated scanners that analyse only JS-driven DOM manipulation while the actual content is delivered via static HTML, partially obscuring ad-network telemetry. (location: page.html:1344-1350, 1353-1359, 1362-1367)

medium

obfuscated code

A third-party JavaScript file is loaded from adsmediabox.com (https://adsmediabox.com/ads.js?z=233&ad_height=300), a domain not affiliated with kaotic.com. This is an external ad-serving script with no subresource integrity (SRI) check, meaning its contents can be changed at any time by the third party to deliver malicious payloads including drive-by downloads, cryptominers, or browser exploits. (location: page.html:1455)

API

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

FAQ: how to interpret this assessment

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

Is kaotic.com safe for AI agents to use?

kaotic.com currently scores 43/100 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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