Service abuse: Arketa notification callback scam
Detects messages sent from Arketa's notification address (no-reply@notifications.arketa.co) that has been abused to deliver callback scam content. The rule flags messages where an NLU classifier identifies callback scam intent, or where the body references well-known brands (e.g., McAfee, Norton, PayPal, eBay, Best Buy) alongside scam-related keywords (purchase, invoice, refund, cancel, etc.) and includes a phone number formatted to evade detection through character substitution or spacing tricks.
Sublime rule (View on GitHub)
1name: "Service abuse: Arketa notification callback scam"
2description: "Detects messages sent from Arketa's notification address (no-reply@notifications.arketa.co) that has been abused to deliver callback scam content. The rule flags messages where an NLU classifier identifies callback scam intent, or where the body references well-known brands (e.g., McAfee, Norton, PayPal, eBay, Best Buy) alongside scam-related keywords (purchase, invoice, refund, cancel, etc.) and includes a phone number formatted to evade detection through character substitution or spacing tricks."
3type: "rule"
4severity: "medium"
5source: |
6 type.inbound
7 and sender.email.email == "no-reply@notifications.arketa.co"
8 and (
9 any(ml.nlu_classifier(body.current_thread.text).intents,
10 .name == "callback_scam" and .confidence != "low"
11 )
12 or (
13 regex.icontains(body.current_thread.text,
14 (
15 "mcafee|n[o0]rt[o0]n|geek.{0,5}squad|paypal|ebay|symantec|best buy|lifel[o0]ck"
16 )
17 )
18 and (
19 3 of (
20 strings.ilike(body.current_thread.text, '*purchase*'),
21 strings.ilike(body.current_thread.text, '*payment*'),
22 strings.ilike(body.current_thread.text, '*transaction*'),
23 strings.ilike(body.current_thread.text, '*subscription*'),
24 strings.ilike(body.current_thread.text, '*antivirus*'),
25 strings.ilike(body.current_thread.text, '*order*'),
26 strings.ilike(body.current_thread.text, '*support*'),
27 strings.ilike(body.current_thread.text, '*receipt*'),
28 strings.ilike(body.current_thread.text, '*invoice*'),
29 strings.ilike(body.current_thread.text, '*call*'),
30 strings.ilike(body.current_thread.text, '*cancel*'),
31 strings.ilike(body.current_thread.text, '*renew*'),
32 strings.ilike(body.current_thread.text, '*refund*'),
33 strings.ilike(body.current_thread.text, '*host key*')
34 )
35 )
36 // phone number regex
37 and any([body.current_thread.text, subject.subject],
38 regex.icontains(strings.replace_confusables(.),
39 '\+?([ilo0-9]{1}.)?\(?[ilo0-9]{3}?\)?.[ilo0-9]{3}.?[ilo0-9]{4}',
40 '\+?([ilo0-9]{1,2})?\s?\(?\d{3}\)?[\s\.\-⋅]{0,5}[ilo0-9]{3}[\s\.\-⋅]{0,5}[ilo0-9]{4}',
41 '[\+\x{FF0B}]?(?:\p{N}[^\p{N}]{0,3}){10,11}'
42 )
43 )
44 )
45 )
46attack_types:
47 - "Callback Phishing"
48tactics_and_techniques:
49 - "Social engineering"
50 - "Impersonation: Brand"
51 - "Evasion"
52 - "Out of band pivot"
53detection_methods:
54 - "Natural Language Understanding"
55 - "Content analysis"
56 - "Sender analysis"
57id: "d254019b-9120-571d-9baa-e4d13407fa23"