SAFE

No threats detected

All checks passed. This site appears legitimate — but always stay alert for phishing even on trusted domains.

Security Review

Is causal.stat.berkeley.edu legit or a scam?

Our verdict:Safe· 94/100

Legitimate UC Berkeley Statistics Causal Lab homepage with active academic news and publications, clean across all our antivirus and blocklist checks.

causal.stat.berkeley.eduScanned 41d ago
0
Trust score
SAFE
Heuristics 89·MT 96
Category tags
educationacademic95% MT confidence
View density

Analysis Summary

Threat Intelligence
0/91
All engines report clean
Domain Age
Registration date unknown
MT Intelligence
Safe
Low likelihood · 95% confidence

MT Intelligence

Advanced threat intelligence
MT Security Analyst
Low scam likelihoodengineMT · Guardiantrust96/100
MT AgentLive web researchVisual inspection
0%
Confidence
The site belongs to the UC Berkeley Causal Lab, featuring real faculty news like recent paper acceptances and grant awards. Our antivirus network shows zero flags from 91 engines, and browser blocklists are clean. The hosting IP has no abuse reports, and the page loads professional academic content with links to official Berkeley and arXiv pages. Reports of scams on subpaths like /ymy/video/ stem from a past DNS hijack, but the root domain remains unaffected and verified as official.
Full dossier
Analysis complete

Page Content

  • Professional academic site titled 'Casual Causal @ UC Berkeley: Home' with news on papers accepted to Bernoulli and JASA, postdoc hiring, and grants.
  • Links to legitimate domains like statistics.berkeley.edu, arxiv.org, and faculty sites; no login forms, countdowns, or scam triggers.
  • Phones listed but no contact email or address, typical for academic labs.
  • Infrastructure

    • Valid Let's Encrypt SSL with 89 days to expiry.
    • IP 128.32.135.2 has perfect reputation with zero abuse reports.
    • Two redirects but no homoglyphs or IDN tricks; low global traffic as expected for niche academic subdomain.

    Domain History

    • .edu subdomain under UC Berkeley, linked from official stats department research page.
    • Active with 2026-dated updates confirming ongoing operations.
    • WHOIS unavailable, common for educational institutions.

    Web Reputation

    • Clean on our blacklist feeds and AV partners.
    • Scam mentions tied to hijacked subpaths only, not the main site.
    • Official status confirmed via Berkeley faculty CVs and department links.
Risk Factors
3
  • Past incident where subpaths like /ymy/video/ were hijacked via dangling DNS CNAME to serve porn and scams, reported in Ars Technica (April 2026).
  • No contact email or postal address on page, though phones and social links present.
  • Low global traffic index, expected for academic research lab.
Positive Signals
5
  • Zero detections from our 91-engine antivirus network and browser blocklists.
  • Fully rendered professional page with recent academic news, publications, and faculty like Samuel Pimentel.
  • Official UC Berkeley subdomain, linked from stats.berkeley.edu research page.
  • Clean IP reputation and valid SSL.
  • External links only to trusted sites like arxiv.org and scholar.google.com.
AI Recommendation
Safe to visit the main page for academic content. Avoid any suspicious subpaths like /ymy/ and stick to official Berkeley links.
Next-gen fraud intelligence
Evidence-backedCross-checked

Website Preview

Screenshot of causal.stat.berkeley.edu
LIVE RENDER
causal.stat.berkeley.edu

Automated page render — captured in a safe sandbox. What an ordinary visitor would see when loading the site.

Visual Screenshot Analysis

We capture a fresh screenshot of the live page and ask a vision model to look for scam visual patterns — fake trust badges, countdown timers, overlay pop-ups, and visual clones of legitimate brands.

0
/ 100
No visual red flags

No scam visual patterns detected

The screenshot shows a fully rendered, professional academic webpage for the UC Berkeley Department of Statistics Causal Lab, featuring news updates, publications, and people sections with no scam indicators.

Visual risk0/100

Web Research Findings

Our live research agent queries scam-report databases, consumer-review sites, news coverage, and general web search for causal.stat.berkeley.edu, then cross-checks business-registration records and look-alike domain patterns. Everything below is pulled from what it actually found.

Business registration
No public record found
Could not match the site to a registered company — common for small sites.
Clone check
Not a clone
No well-known site's layout or branding detected here.
Typosquat check
No look-alike match
The domain doesn't resemble any well-known brand's spelling.
Web mentions
2 scam reports
Key findings
6 headline facts from open-web research
  • Official website of UC Berkeley Causal Lab (aka Casual Causal), a research group in the Statistics Department focused on causal inference.
  • Linked from UC Berkeley Statistics Department research page: https://statistics.berkeley.edu/research/causal-inference-graphical-models.
  • Faculty includes Samuel Pimentel, Associate Professor in Statistics (CV: https://www.stat.berkeley.edu/~spi/Sam_Pimentel_CV.pdf).
  • Active with recent news: papers accepted March 2026, grants, hiring postdocs.
  • Subpaths serving porn/scams due to hijacked dangling CNAME DNS record (Ars Technica, Apr 24, 2026). Main root site unaffected.
  • Group members: postdocs, grad students, alumni at Stanford, UChicago, USC, etc.
Scam reports (2)
Direct quotes from public scam databases, forums, and news.
  • Ars Technicaopen

    "Subdomain causal.stat.berkeley.edu has been hijacked and is serving explicit pornography and scam content, including pages like hXXps://causal.stat.berkeley.edu/ymy/video/xxx-porn-girl-and-boy-ej5210.html. All deliver explicit pornography a"

  • Security-Portal.czopen

    "Subdomains such as hXXps://causal.stat.berkeley.edu/ymy/video/xxx-porn-girl-and-boy-ej5210.html... All deliver explicit pornography and, in at least one case, a scam site."

Research summary
Narrative write-up from our AI analyst, grounded on the facts above
This is the official site of UC Berkeley's Causal Lab in the Statistics Department, focused on causal inference research, with faculty like Samuel Pimentel and recent activity including 2026 paper acceptances and grants. It's linked from the department's research page. Scam reports from Ars Technica and Security-Portal.cz (April 2026) note hijacked subpaths (e.g., /ymy/video/) serving porn and scams via a dangling CNAME DNS record, but the main homepage remains clean and legitimate.

Antivirus Engines

Clean pass · verified
Clean across 91 engines

We cross-check every URL against our antivirus network of 91 malware and blacklist engines. None of them flagged this URL in the last scan.

0Malicious0Suspicious61Harmless91Engines
Clean
Kaspersky
Clean
Bitdefender
Clean
Microsoft
Not in pass
ESET-NOD32
Not in pass
Avira
Not in pass
Sophos
Clean
Fortinet
Clean
Google Safebrowsing
Clean
Emsisoft
Clean

No engine detections. The URL passed every antivirus and blacklist engine we queried in this scan. Stay vigilant — AV coverage is only one signal among many.

Security Scans

Blacklist Check
Not flagged on major threat lists

Checked against the major public blocklists used by browsers and security tools — no hits.

Contact Verification

We fetched the page and looked for real-world contact details. Legitimate businesses almost always publish an email on their own domain, a phone number, and a postal address. Scam shops usually don't.

What We Found
No clear contact details on the page
Emails on site's domainNone
Phone numbers2024-2025
Postal addressNot listed
Linked social profiles7
Signal Summary
Contact details look reasonable
  • No contact email found anywhere on the page.
  • No postal address visible on the page.
  • Phone number listed (2024-2025).
  • Links to 9 social profiles.

Domain & Encryption

Encryption Certificate
StatusValid
ProtocolTLSv1.2
IssuerLet's Encrypt · E8
ExpiresJul 23, 2026 (89d)
Self-signedNo
Hosting & Technology
HostingUniversity of California at Berkeley
Server locationUS

Redirect Chain

Hops
2
Cross-domain
Yes
Lookalike
No
Punycode
No
  • 1301http://causal.stat.berkeley.edu/
  • 2301https://causal.stat.berkeley.edu/
  • 3200https://causal.berkeley.edu/cross-domain

Server Reputation

Abuse Intelligence
Confidence score0%
Reports on file0
ISPUniversity of California at Berkeley
Usage typeUniversity/College/School

Still, stay alert

No major threat indicators — but a clean scan does not guarantee every page is safe, and phishing emails routinely spoof real domains.

  • Double-check the exact URL in your address bar

    Confirm you are actually on causal.stat.berkeley.edu and not a lookalike like c-ausal.stat.berkeley.edu.com or an IDN homoglyph.

  • Use a password manager

    Password managers only auto-fill on the exact domain they were saved for — they refuse to fill lookalike domains, which is the single best phishing defence.

  • Discuss this site on the forum

    If you have first-hand experience with this site — good or bad — share it with the MalwareTips community.

    Open

Reputation Sources

How this domain rates across independent threat-intelligence and blocklist providers.

Google Safe Browsing
Not listedCheck ↗
VirusTotal
Not listedCheck ↗
AbuseIPDB
Not listedCheck ↗

Referenced Domains

Outbound domains this page links to or loads resources from. Each links to its own security scan.

Safety FAQ

Common questions about this site, answered from the scan data on this page. These are auto-generated — not hand-written — so they always match the underlying report.

  • Our automated security review found no threat indicators on causal.stat.berkeley.edu. The site appears legitimate based on the signals we checked, but always stay alert for phishing emails that spoof real domains.

Final Verdict

0
Trust / 100
Final Verdict·causal.stat.berkeley.edu
SAFE

This is the official homepage of the UC Berkeley Causal Lab, a legitimate research group in the Statistics Department focused on causal inference. All our security scans are clean with zero malware or phishing detections. You can safely visit the main page.

Safe to visit the main page for academic content. Avoid any suspicious subpaths like /ymy/ and stick to official Berkeley links.

AV engines
91
MT passes
2
Net signals
0
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Scanned by
harlan4096Staff
This report is generated automatically by combining threat intelligence, domain signals, and an AI security analyst. It is informational, not legal advice. Always use your own judgement before sharing personal information or money online.