Is accessnewswire.com safe?

suspiciouslow confidence
42/100

context safety score

A score of 42/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.

identity
100
behavior
60
content
14
graph
30

8 threat patterns detected

medium

encoded payload

suspicious base64-like blobs detected in page content

medium

malicious redirect

script/meta redirect patterns detected in page source

high

js obfuscation

JavaScript uses Function constructor for runtime code generation

high

prompt injection

Hidden HTML element contains AI-targeting instructions

high

malicious redirect

An open redirect vulnerability exists in a script at the bottom of the page body. The script reads a URL-encoded value from the query parameter 'page' (?page=...), decodes it with decodeURIComponent, and redirects the browser unconditionally via window.location.href = decodedUrl. The only guard checks if the decoded URL contains 'accessnewswire.com' to add a 'www.' prefix, but it does NOT restrict the redirect to the same domain. An attacker can supply any arbitrary external URL (e.g., ?page=https://evil.com) and the script will redirect the visitor there, enabling phishing, credential harvesting, and drive-by-download attacks. (location: page.html:3648-3669)

medium

social engineering

A modal popup ('We've got your back!') is triggered after the user scrolls 500px. It uses a Marketo form that collects business email addresses and explicitly rejects Gmail addresses. While technically standard marketing, the popup is scroll-triggered and appears without user initiation, pressuring visitors to submit contact details. The form submits to //gomq.accessnewswire.com (a subdomain), and on success stores a 'subscribed' flag in localStorage to suppress future display — a pattern that can suppress detection on repeated visits by security scanners. (location: page.html:2539-2632)

low

hidden content

An HTML comment block near line 1193 contains a commented-out script block that configures a 'SAChatWidgetConfig' with an agentId. This dead code is immediately followed by a Reddit Pixel comment marker, suggesting the comment delimiter was intentionally malformed or the block was left partially visible. The chatbot agent configuration (agentId: 'vjmnmwww') embedded inside a broken comment could be an attempt to conditionally activate an AI chat agent without full disclosure. (location: page.html:1193-1201)

low

hidden content

Excessive whitespace padding is present throughout inline script blocks in the HTML, spanning dozens of blank lines between short functional code segments (e.g., lines 757-851, 860-928, 940-1006). This pattern is consistent with whitespace obfuscation to push visible content far apart and complicate static analysis or diff-based review. (location: page.html:755-1006)

API

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

FAQ: how to interpret this assessment

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

Is accessnewswire.com safe for AI agents to use?

accessnewswire.com currently scores 42/100 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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