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sublimemediumRule
Impersonation: Salesforce fake campaign failure notification
Detects messages impersonating Salesforce with urgent language about failed or cancelled campaigns, containing external links from first-time senders outside legitimate Salesforce domains.
Detection Query
type.inbound
and strings.icontains(sender.display_name, "salesforce")
and sender.email.domain.root_domain not in (
"salesforce.com",
"force.com",
"site.com",
"agentforce.com"
)
and length(attachments) == 0
// theare are external links (not org or SF domains)
and length(filter(body.links,
.href_url.domain.domain not in $org_domains
and .href_url.domain.root_domain not in (
"salesforce.com",
"force.com",
"site.com" // salesforce CRM
)
)
) > 0
and length(body.current_thread.text) <= 600
and strings.contains(body.current_thread.text, 'campaign')
and any(ml.nlu_classifier(body.current_thread.text).entities,
.name == "urgency" and regex.icontains(.text, "(failed|cancelled)")
)
and any(ml.nlu_classifier(body.current_thread.text).entities,
.name == "request"
)
Data Sources
Email MessagesEmail HeadersEmail Attachments
Platforms
email
Raw Content
name: "Impersonation: Salesforce fake campaign failure notification"
description: "Detects messages impersonating Salesforce with urgent language about failed or cancelled campaigns, containing external links from first-time senders outside legitimate Salesforce domains."
type: "rule"
severity: "medium"
source: |
type.inbound
and strings.icontains(sender.display_name, "salesforce")
and sender.email.domain.root_domain not in (
"salesforce.com",
"force.com",
"site.com",
"agentforce.com"
)
and length(attachments) == 0
// theare are external links (not org or SF domains)
and length(filter(body.links,
.href_url.domain.domain not in $org_domains
and .href_url.domain.root_domain not in (
"salesforce.com",
"force.com",
"site.com" // salesforce CRM
)
)
) > 0
and length(body.current_thread.text) <= 600
and strings.contains(body.current_thread.text, 'campaign')
and any(ml.nlu_classifier(body.current_thread.text).entities,
.name == "urgency" and regex.icontains(.text, "(failed|cancelled)")
)
and any(ml.nlu_classifier(body.current_thread.text).entities,
.name == "request"
)
attack_types:
- "Credential Phishing"
tactics_and_techniques:
- "Impersonation: Brand"
- "Social engineering"
detection_methods:
- "Content analysis"
- "Natural Language Understanding"
- "Sender analysis"
- "URL analysis"
id: "d66000ca-1ee7-5f62-8355-0db7c44743fc"