Brand impersonation: Chase Bank
Impersonation of Chase Bank and related services to harvest credentials or related information such as dates of birth, phone numbers, social security numbers, ATM pin numbers, drivers license numbers, selfies, and ID card photos.
Sublime rule (View on GitHub)
1name: "Brand impersonation: Chase Bank"
2description: |
3 Impersonation of Chase Bank and related services to harvest credentials or related information
4 such as dates of birth, phone numbers, social security numbers, ATM pin numbers, drivers license
5 numbers, selfies, and ID card photos.
6references:
7 - "https://cyware.com/news/new-phishing-scam-impersonating-chase-bank-asks-for-sensitive-data-including-selfies-53065228"
8type: "rule"
9severity: "high"
10source: |
11 type.inbound
12 and (
13 strings.ilike(sender.display_name,
14 '*chase sapphire*',
15 '*chase card services*',
16 '*united mileageplus*',
17 "echase*"
18 )
19 or strings.ilevenshtein(sender.display_name, 'chase sapphire') <= 2
20 or strings.ilevenshtein(sender.display_name, 'chase card services') <= 2
21 or strings.ilevenshtein(sender.display_name, 'united mileageplus') <= 2
22 or (
23 strings.ilevenshtein(sender.display_name, 'echase') <= 1
24 // Negate Chase sender display name if cred theft, callback phishing, and a Chase logo isn't detected
25 and not (
26 strings.icontains(sender.display_name, 'chase')
27 and not (
28 any(ml.nlu_classifier(body.current_thread.text).intents,
29 .name == "cred_theft" and .confidence in ("medium", "high")
30 )
31 or any(ml.nlu_classifier(body.current_thread.text).intents,
32 .name == "callback_scam" and .confidence in ("medium", "high")
33 )
34 or any(ml.logo_detect(beta.message_screenshot()).brands,
35 strings.starts_with(.name, "Chase")
36 )
37 )
38 )
39 )
40 or strings.icontains(body.current_thread.text, 'Chase Privacy Operations')
41 )
42 and not (
43 sender.display_name is not null and sender.display_name in~ ("chaser", "case")
44 )
45 and sender.email.domain.root_domain not in~ ('chase.com', 'united.com', 'transunion.com', 'shopping-chase.com', 'chasetravel.com')
46 and (
47 profile.by_sender().prevalence in ("new", "outlier")
48 or (
49 profile.by_sender().any_messages_malicious_or_spam
50 and not profile.by_sender().any_false_positives
51 )
52 )
53
54 // negate highly trusted sender domains unless they fail DMARC authentication
55 and (
56 (
57 sender.email.domain.root_domain in $high_trust_sender_root_domains
58 and not headers.auth_summary.dmarc.pass
59 )
60 or sender.email.domain.root_domain not in $high_trust_sender_root_domains
61 )
62 // and not solicited
63 and not profile.by_sender().solicited
64attack_types:
65 - "Credential Phishing"
66tactics_and_techniques:
67 - "Impersonation: Brand"
68 - "Lookalike domain"
69 - "Social engineering"
70detection_methods:
71 - "Header analysis"
72 - "Sender analysis"
73id: "c680f1e7-01b9-5b95-897b-65957f4a57aa"