Detection rules › Sublime MQL

Service abuse: PayPal manager account creation with callback scam indicators

Severity
medium
Type
rule
Source
github.com/sublime-security/sublime-rules

Detects inbound messages abusing PayPal's noreply address with subjects about PayPal Manager user account creation that contain callback scam intent patterns identified through natural language analysis.

Threat classification

Sublime's own taxonomy (not MITRE ATT&CK).

CategoryValues
Attack typesCallback Phishing, Credential Phishing
Tactics and techniquesImpersonation: Brand, Social engineering, Spoofing

Event coverage

Rule body MQL

type.inbound
and sender.email.email == "noreply@paypal.com"
and strings.icontains(subject.base,
                      "Creation of your PayPal Manager user account"
)
and any(ml.nlu_classifier(body.current_thread.text).intents,
        .name in ("callback_scam", "cred_theft") and .confidence != "low"
)

Detection logic

Scope: inbound message.

Detects inbound messages abusing PayPal's noreply address with subjects about PayPal Manager user account creation that contain callback scam intent patterns identified through natural language analysis.

  1. inbound message
  2. sender.email.email is 'noreply@paypal.com'
  3. subject.base contains 'Creation of your PayPal Manager user account'
  4. any of ml.nlu_classifier(body.current_thread.text).intents where all hold:
    • .name in ('callback_scam', 'cred_theft')
    • .confidence is not 'low'

Inspects: body.current_thread.text, sender.email.email, subject.base, type.inbound. Sensors: ml.nlu_classifier, strings.icontains.

Indicators matched (4)

FieldMatchValue
sender.email.emailequalsnoreply@paypal.com
strings.icontainssubstringCreation of your PayPal Manager user account
ml.nlu_classifier(body.current_thread.text).intents[].namemembercallback_scam
ml.nlu_classifier(body.current_thread.text).intents[].namemembercred_theft