← Back to Explore
sublimehighRule
Attachment: Office file contains OLE relationship to credential phishing page
Office file OLE relationship link is a credential page, or contains credential phishing language.
Detection Query
type.inbound
and any(attachments,
(
.file_extension in~ $file_extensions_macros
or (
.file_extension is null
and .file_type == "unknown"
and .content_type == "application/octet-stream"
and .size < 100000000
)
)
and length(file.oletools(.).relationships) < 500
and any(file.oletools(.).relationships,
(
any(ml.nlu_classifier(ml.link_analysis(.target_url).final_dom.display_text
).intents,
.name == "cred_theft"
and .confidence in ("medium", "high")
)
and .target_url.domain.root_domain not in (
"google.com",
"goo.gl"
)
and ml.link_analysis(.target_url).effective_url.domain.domain != "login.microsoftonline.com"
)
or ml.link_analysis(.target_url).credphish.disposition == "phishing"
)
)
and (
(
profile.by_sender().prevalence in ("new", "outlier")
and not profile.by_sender().solicited
)
or (
profile.by_sender().any_messages_malicious_or_spam
and not profile.by_sender().any_messages_benign
)
)
Data Sources
Email MessagesEmail HeadersEmail Attachments
Platforms
email
Raw Content
name: "Attachment: Office file contains OLE relationship to credential phishing page"
description: |
Office file OLE relationship link is a credential page, or contains credential phishing language.
type: "rule"
severity: "high"
source: |
type.inbound
and any(attachments,
(
.file_extension in~ $file_extensions_macros
or (
.file_extension is null
and .file_type == "unknown"
and .content_type == "application/octet-stream"
and .size < 100000000
)
)
and length(file.oletools(.).relationships) < 500
and any(file.oletools(.).relationships,
(
any(ml.nlu_classifier(ml.link_analysis(.target_url).final_dom.display_text
).intents,
.name == "cred_theft"
and .confidence in ("medium", "high")
)
and .target_url.domain.root_domain not in (
"google.com",
"goo.gl"
)
and ml.link_analysis(.target_url).effective_url.domain.domain != "login.microsoftonline.com"
)
or ml.link_analysis(.target_url).credphish.disposition == "phishing"
)
)
and (
(
profile.by_sender().prevalence in ("new", "outlier")
and not profile.by_sender().solicited
)
or (
profile.by_sender().any_messages_malicious_or_spam
and not profile.by_sender().any_messages_benign
)
)
attack_types:
- "Credential Phishing"
tactics_and_techniques:
- "Evasion"
- "Social engineering"
detection_methods:
- "File analysis"
- "HTML analysis"
- "Natural Language Understanding"
- "OLE analysis"
- "URL analysis"
id: "d55793d0-865e-53c4-ae51-f1b0fec50ec6"