Is egdfed.org safe?

cautionmedium confidence
66/100

context safety score

A score of 66/100 indicates minor risk signals were detected. The entity may be legitimate but has characteristics that warrant attention.

identity
100
behavior
60
content
51
graph
71

5 threat patterns detected

high

phishing

1 deceptive links where visible host does not match destination host

medium

malicious redirect

Instagram social media link routes through Microsoft SafeLinks proxy (emea01.safelinks.protection.outlook.com) with encoded destination URL instead of linking directly to instagram.com/egdfed. This is an anomalous redirect chain for a public website social link — SafeLinks is an enterprise email security wrapper, not a normal web hyperlink mechanism. An AI agent following this link would traverse an opaque redirect through a third-party Microsoft domain before reaching the final destination. (location: page.html:306 and page.html:627 (Instagram follow links in hero section and footer))

low

malicious redirect

On Contact Form 7 submission ('wpcf7mailsent' event), a JavaScript handler reads a radio button value and immediately redirects the browser via window.location.href to hardcoded Stripe payment URLs (buy.stripe.com). This is a JS redirect pattern triggered by form submission. While the Stripe URLs appear to be legitimate payment links for membership fees, the redirect is unconditional and client-side with no server-side validation, creating a potential abuse vector if the form input is manipulated. (location: page.html:735-762 (inline script wpcf7mailsent handler); page-text.txt:558-584)

low

hidden content

The page sets elm.style.display='none' on the entire HTML element at load time via inline JavaScript, only revealing it on DOMContentLoaded. This Flash-of-invisible-content pattern can be used to hide content from crawlers or scanners that do not execute JavaScript. The hidden content ratio was flagged at 0.19 by the pre-scan. Combined with display:none divs for Ultimate Member upload/photo modals (id='um_upload_single', id='um_view_photo'), the cumulative hidden content ratio is notable, though the modals are standard plugin UI. (location: page.html:113-117 (html display:none script); page.html:702-712 (UM modal divs))

low

hidden content

The page carries <meta name='robots' content='noindex, nofollow' /> — instructing all crawlers not to index the page and not to follow any links. For a public-facing homepage of a legitimate federation this is unusual and means the site is actively avoiding search engine and bot visibility, which can be a tactic to evade automated threat detection while still serving content to human or targeted visitors. (location: page.html:13 (meta robots noindex,nofollow))

API

curl https://api.brin.sh/domain/egdfed.org

FAQ: how to interpret this assessment

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

Is egdfed.org safe for AI agents to use?

egdfed.org currently scores 66/100 with a caution 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 26, 2026

Verdict Scale

safe80–100
caution50–79
suspicious20–49
dangerous0–19

Trust Graph

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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