Brand impersonation: Sedgwick Claims
Detects inbound messages that impersonate Sedgwick Claims Management Services, either through a display name containing 'Sedgwick Claim' or through NLU classification identifying Sedgwick as an organization entity alongside high-confidence financial communication topics. Legitimate messages from verified Sedgwick domains (sedgwick.com or sedgwickcms.com) that pass DMARC authentication are excluded.
Sublime rule (View on GitHub)
1name: "Brand impersonation: Sedgwick Claims"
2description: "Detects inbound messages that impersonate Sedgwick Claims Management Services, either through a display name containing 'Sedgwick Claim' or through NLU classification identifying Sedgwick as an organization entity alongside high-confidence financial communication topics. Legitimate messages from verified Sedgwick domains (sedgwick.com or sedgwickcms.com) that pass DMARC authentication are excluded."
3type: "rule"
4severity: "medium"
5source: |
6 type.inbound
7 and (
8 strings.icontains(sender.display_name, "Sedgwick Claim")
9 or (
10 any(ml.nlu_classifier(body.current_thread.text).entities,
11 .name == "sender" and .text == "Sedgwick"
12 )
13 and any(ml.nlu_classifier(body.current_thread.text).topics,
14 .name == "Financial Communications" and .confidence == "high"
15 )
16 and any(body.links, strings.icontains(.display_text, "claim"))
17 )
18 )
19 and not (
20 sender.email.domain.root_domain in ("sedgwick.com", "sedgwickcms.com")
21 and coalesce(headers.auth_summary.dmarc.pass, false)
22 )
23attack_types:
24 - "BEC/Fraud"
25 - "Credential Phishing"
26tactics_and_techniques:
27 - "Impersonation: Brand"
28 - "Spoofing"
29 - "Social engineering"
30detection_methods:
31 - "Natural Language Understanding"
32 - "Sender analysis"
33 - "Header analysis"
34id: "e9f2c14d-bf70-5205-8cba-ccf04017904f"