Service abuse: Google security alert credential phishing
Detects messages spoofing Google's automated account security alert notifications, warning that someone else may be using the recipient's account. These messages either trigger a callback scam intent classifier or embed a suspicious URL disguised as an app name within the alert text, luring recipients into calling a fraudulent number or visiting an attacker-controlled link under the guise of securing their account.
Sublime rule (View on GitHub)
1name: "Service abuse: Google security alert credential phishing"
2description: "Detects messages spoofing Google's automated account security alert notifications, warning that someone else may be using the recipient's account. These messages either trigger a callback scam intent classifier or embed a suspicious URL disguised as an app name within the alert text, luring recipients into calling a fraudulent number or visiting an attacker-controlled link under the guise of securing their account."
3type: "rule"
4severity: "medium"
5source: |
6 type.inbound
7 and sender.email.email == "no-reply@accounts.google.com"
8 and (
9 any(regex.iextract(body.current_thread.text,
10 'generate this password for (?P<app_name>.+), someone (?:else )?might be using your account'
11 ),
12 any(regex.iextract(.named_groups["app_name"],
13 '(?:https?://)?(?P<url>[a-z0-9-]+(?:\.[a-z0-9-]+)+/[^\s,]*)'
14 ),
15 strings.parse_url(strings.concat("https://", .named_groups["url"])).domain.valid
16 )
17 )
18 )
19attack_types:
20 - "Callback Phishing"
21 - "Credential Phishing"
22tactics_and_techniques:
23 - "Impersonation: Brand"
24 - "Social engineering"
25 - "Spoofing"
26detection_methods:
27 - "Natural Language Understanding"
28 - "Content analysis"
29 - "URL analysis"
30 - "Sender analysis"
31id: "34364db5-8852-5997-a5c9-4fd50d897348"