• Sublime Core Feed

Description

Detects messages spoofing Google Classroom notifications that contain WhatsApp contact information, phone numbers, or sexually explicit content. The rule identifies emails from no-reply@classroom.google.com that include WhatsApp invitations, emojis in the subject line, or explicit sexual language, as well as phone numbers and WhatsApp references in message screenshots from first-time senders.

References

No references.

Sublime Security
Created Sep 2nd, 2025 • Last updated Oct 17th, 2025
Source
type.inbound
// 
//  Warning: This rule contains sexually explicit keywords
// 
and sender.email.email == "no-reply@classroom.google.com"
and any(regex.iextract(body.html.display_text,
                     '(?P<sender_email>(?P<sender_name>[a-zA-Z0-9._%+-]+)@(?P<sender_domain>[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}))'
      ),
      .named_groups["sender_email"] not in $sender_emails
      and .named_groups["sender_email"] not in $recipient_emails
  )
and (
  // check for a WhatsApp invitation in the currend_thread
  (
    regex.icontains(body.current_thread.text, '\bWhatsapp:?.[:0-9+ ]{7,20}\b')
    or (
      strings.icontains(body.current_thread.text, "WhatsApp")
      and strings.icontains(body.current_thread.text, "invited")
    )
    // look for an emoji in the subject
    or (
        regex.icontains(subject.subject,
        '[\x{1F300}-\x{1F5FF}\x{1F600}-\x{1F64F}\x{1F680}-\x{1F6FF}\x{1F700}-\x{1F77F}\x{1F780}-\x{1F7FF}\x{1F900}-\x{1F9FF}\x{2600}-\x{26FF}\x{2700}-\x{27BF}\x{2300}-\x{23FF}]')
    )
    // look for sexually explicit subject titles
    or regex.icontains(subject.subject, 
        '(?:give me|your satisfaction|sex|horny|cock|fuck|\bass\b|pussy|dick|tits|cum|girlfriend|boyfriend|naked|porn|video|webcam|masturbate|orgasm|breasts|penis|vagina|strip|suck|blowjob|hardcore|xxx|nudes?|sexting|cheating|affair|erotic|\blust\b|desire|intimate|explicit|fetish|kinky|seduce|adult community|cam shows|local (?:girls?|women|single)|hook.?up|bed partner)')
  )
  // check for WhatsApp invitation within the OCR of an attachment. 
  or (
    //
    // This rule makes use of a beta feature and is subject to change without notice
    // using the beta feature in custom rules is not suggested until it has been formally released
    //
    regex.icontains(beta.ocr(file.message_screenshot()).text,
                    // International format with OCR-friendly character classes
                    '\+?[ilo0-9]{1,3}[\s\.\-⋅]?\(?[ilo0-9]{3}\)?[\s\.\-⋅]{0,3}[ilo0-9]{3}[\s\.\-⋅]{0,3}[ilo0-9]{3,4}',
                    // US format
                    '\(?[ilo0-9]{3}\)?[\s\.\-⋅]{0,3}[ilo0-9]{3}[\s\.\-⋅]{0,3}[ilo0-9]{4}',
    )
    // and mentions of WhatsApp in the screenshot
    and (
      regex.icontains(beta.ocr(file.message_screenshot()).text,
                      '[Ww]hats[Aa]pp|[Ww]hatsapp'
      )
      or regex.icontains(beta.ocr(file.message_screenshot()).text, // WhatsApp-specific format
                         '[Ww]hats[Aa]pp:?[\s]*[+]?[ilo0-9\s\.\-⋅\(\)]{10,18}'
      )
    )
  )
)
MQL Rule Console
DocsLearning Labs

Playground

Test against your own EMLs or sample data.

Share

Post about this on your socials.

Get Started. Today.

Managed or self-managed. No MX changes.

Deploy and integrate a free Sublime instance in minutes.
Get Started