Detection rules › Sublime MQL
Recruitee Infrastructure Abuse
Identifies inbound messages from Recruitee domains containing recruitment-related topics and application links, where the sender has limited prior history. The URLs in these messages either point to recently registered domains or appear as standalone links with application-focused text.
Threat classification
Sublime's own taxonomy (not MITRE ATT&CK).
| Category | Values |
|---|---|
| Attack types | BEC/Fraud, Credential Phishing |
| Tactics and techniques | Impersonation: Brand, Social engineering |
Event coverage
| Message attribute |
|---|
| body |
| body.current_thread |
| body.links (collection) |
| sender.email |
| type |
Rule body MQL
type.inbound
and sender.email.domain.root_domain == "recruitee.com"
and any(beta.ml_topic(body.current_thread.text).topics,
.name in (
"Advertising and Promotions",
"Professional and Career Development"
)
and .confidence != "low"
)
and any(body.links,
(
network.whois(.href_url.domain).days_old < 30
or length(body.links) == 1
)
and regex.icontains(.display_text, "apply|submit")
)
// use sender email, not domain, to ensure new *.recruitee.com addresses are correctly identified
and profile.by_sender_email().prevalence in ("new", "outlier")
and not profile.by_sender_email().any_messages_benign
Detection logic
Scope: inbound message.
Identifies inbound messages from Recruitee domains containing recruitment-related topics and application links, where the sender has limited prior history. The URLs in these messages either point to recently registered domains or appear as standalone links with application-focused text.
- inbound message
- sender.email.domain.root_domain is 'recruitee.com'
any of
beta.ml_topic(body.current_thread.text).topicswhere all hold:- .name in ('Advertising and Promotions', 'Professional and Career Development')
- .confidence is not 'low'
any of
body.linkswhere all hold:any of:
- network.whois(.href_url.domain).days_old < 30
- length(body.links) is 1
- .display_text matches 'apply|submit'
- profile.by_sender_email().prevalence in ('new', 'outlier')
not:
- profile.by_sender_email().any_messages_benign
Inspects: body.current_thread.text, body.links, body.links[].display_text, body.links[].href_url.domain, sender.email.domain.root_domain, type.inbound. Sensors: beta.ml_topic, network.whois, profile.by_sender_email, regex.icontains.
Indicators matched (4)
| Field | Match | Value |
|---|---|---|
sender.email.domain.root_domain | equals | recruitee.com |
beta.ml_topic(body.current_thread.text).topics[].name | member | Advertising and Promotions |
beta.ml_topic(body.current_thread.text).topics[].name | member | Professional and Career Development |
regex.icontains | regex | apply|submit |