Brand impersonation: FedEx

Impersonation of the shipping provider FedEx.

Sublime rule (View on GitHub)

 1name: "Brand impersonation: FedEx"
 2description: |
 3    Impersonation of the shipping provider FedEx.
 4references:
 5  - "https://www.fedex.com/en-us/trust-center/report-fraud/fraudulent-email-examples.html"
 6type: "rule"
 7severity: "low"
 8source: |
 9  type.inbound
10  and (
11    sender.display_name in~ ('fedex', 'fedex shipment', 'fedex tracking updates')
12    or strings.ilevenshtein(sender.display_name, 'fedex') <= 1
13    or regex.icontains(sender.display_name, '^Fed-?ex')
14    or strings.ilike(sender.email.domain.domain, '*fedex*')
15    or (
16      any(ml.logo_detect(file.message_screenshot()).brands, .name == "FedEx")
17      and (
18        any(ml.nlu_classifier(body.current_thread.text).entities,
19            .name == "request" and strings.icontains(.text, "signature")
20        )
21        or strings.istarts_with(body.current_thread.text, 'FedEx')
22      )
23    )
24  )
25  and sender.email.domain.root_domain not in~ (
26    'fedex.com',
27    'fedexfreight.com', // added 2026-05-08
28    'cj.com', // CJ is a global affiliate marketing network
29    'sedex.com', // sedex.com is not affiliated with FedEx, but is an apparent FP
30    'myworkday.com',
31    'billtrust.com',
32    'flying-cargo.rs', // Serbian arm of Fedex (https://www.fedex.com/en-rs/customer-support.html)
33    'confirmit.com', // survey/market research company
34    'centercode.com' // survey company
35  )
36  and (
37    not profile.by_sender().any_messages_benign
38    and not profile.by_sender().solicited
39  )
40  
41  // negate highly trusted sender domains unless they fail DMARC authentication
42  and (
43    (
44      sender.email.domain.root_domain in $high_trust_sender_root_domains
45      and not headers.auth_summary.dmarc.pass
46    )
47    or sender.email.domain.root_domain not in $high_trust_sender_root_domains
48  )  
49
50attack_types:
51  - "Credential Phishing"
52tactics_and_techniques:
53  - "Impersonation: Brand"
54  - "Lookalike domain"
55  - "Social engineering"
56detection_methods:
57  - "Header analysis"
58  - "Sender analysis"
59id: "94a2b602-2bc1-5ea3-941e-752e3a2235cf"
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