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New Rule: X (Twitter) Impersonation with Credential Phishing motives (#…
…676) Co-authored-by: ID Generator <[email protected]>
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name: "X (Twitter) Impersonation with Credential Phishing motives" | ||
description: | | ||
This rule is designed to identify impersonation attempts by analyzing the display name or sender's | ||
local part for the solitary use of "X" provided the email doesn't originate from twitter.com or x.com. | ||
Natural Language Understanding (NLU) is used to check for credential theft requiring a medium-to-high confidence level for flagging. | ||
type: "rule" | ||
severity: "medium" | ||
source: | | ||
type.inbound | ||
and (sender.display_name =~ "x" or sender.email.local_part =~ "x") | ||
and sender.email.domain.root_domain not in ("twitter.com", "x.com") | ||
and ( | ||
any(attachments, | ||
.file_type in~ $file_types_images | ||
and any(file.explode(.), | ||
any(ml.nlu_classifier(.scan.ocr.raw).intents, | ||
.name == "cred_theft" and .confidence != "low" | ||
) | ||
) | ||
) | ||
or any(ml.nlu_classifier(body.current_thread.text).intents, | ||
.name == "cred_theft" and .confidence != "low" | ||
) | ||
) | ||
attack_types: | ||
- "Credential Phishing" | ||
tactics_and_techniques: | ||
- "Impersonation: Brand" | ||
- "Social engineering" | ||
detection_methods: | ||
- "Computer Vision" | ||
- "File analysis" | ||
- "Header analysis" | ||
- "Optical Character Recognition" | ||
- "Natural Language Understanding" | ||
- "Sender analysis" | ||
id: "0b60dca6-db2d-5718-94d8-fdbfd06bd081" |