Brand impersonation: Chase Bank

 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      (
24        strings.ilevenshtein(sender.display_name, 'echase') <= 1
25        or (
26          strings.icontains(sender.display_name, "bank")
27          and strings.icontains(subject.base, "chase bank")
28        )
29      )
30      // Negate Chase sender display name if cred theft, callback phishing, and a Chase logo isn't detected
31      and not (
32        strings.icontains(sender.display_name, 'chase')
33        and not (
34          any(ml.nlu_classifier(body.current_thread.text).intents,
35              .name == "cred_theft" and .confidence in ("medium", "high")
36          )
37          or any(ml.nlu_classifier(body.current_thread.text).intents,
38                 .name == "callback_scam" and .confidence in ("medium", "high")
39          )
40          or any(ml.logo_detect(file.message_screenshot()).brands,
41                 strings.starts_with(.name, "Chase")
42          )
43        )
44      )
45    )
46    or regex.icontains(body.current_thread.text,
47                       '(Chase|J\.?\s?P\.?\sMorgan)\s(Privacy|Treasury)\sOperations|(Privacy|Treasury)\sOperations\s(Chase|J\.?\s?P\.?\sMorgan)'
48    )
49  )
50  and not (
51    sender.display_name is not null and sender.display_name in~ ("chaser", "case")
52  )
53  and sender.email.domain.root_domain not in~ (
54    'chase.com',
55    'united.com',
56    'transunion.com',
57    'shopping-chase.com',
58    'chasetravel.com'
59  )
60  and (
61    profile.by_sender().prevalence in ("new", "outlier")
62    or (
63      profile.by_sender().any_messages_malicious_or_spam
64      and not profile.by_sender().any_messages_benign
65    )
66  )
67  
68  // negate highly trusted sender domains unless they fail DMARC authentication
69  and (
70    (
71      sender.email.domain.root_domain in $high_trust_sender_root_domains
72      and not headers.auth_summary.dmarc.pass
73    )
74    or sender.email.domain.root_domain not in $high_trust_sender_root_domains
75  )
76  // and not solicited
77  and not profile.by_sender().solicited  
78attack_types:
79  - "Credential Phishing"
80tactics_and_techniques:
81  - "Impersonation: Brand"
82  - "Lookalike domain"
83  - "Social engineering"
84detection_methods:
85  - "Header analysis"
86  - "Sender analysis"
87id: "c680f1e7-01b9-5b95-897b-65957f4a57aa"