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  )
41  and sender.display_name not in~ ("chaser", "case")
42  and sender.email.domain.root_domain not in~ ('chase.com', 'united.com', 'transunion.com', 'shopping-chase.com')
43  and (
44    profile.by_sender().prevalence in ("new", "outlier")
45    or (
46      profile.by_sender().any_messages_malicious_or_spam
47      and not profile.by_sender().any_false_positives
48    )
49  )
50
51  // negate highly trusted sender domains unless they fail DMARC authentication
52  and (
53    (
54      sender.email.domain.root_domain in $high_trust_sender_root_domains
55      and not headers.auth_summary.dmarc.pass
56    )
57    or sender.email.domain.root_domain not in $high_trust_sender_root_domains
58  )
59  // and not solicited
60  and not profile.by_sender().solicited  
61attack_types:
62  - "Credential Phishing"
63tactics_and_techniques:
64  - "Impersonation: Brand"
65  - "Lookalike domain"
66  - "Social engineering"
67detection_methods:
68  - "Header analysis"
69  - "Sender analysis"
70id: "c680f1e7-01b9-5b95-897b-65957f4a57aa"
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