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+ name : " Brand impersonation: Twitter"
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+ description : |
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+ Impersonation of Twitter.
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+ references :
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+ - " https://www.techrepublic.com/article/phishing-attack-spoofs-twitter-to-steal-account-credentials/"
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+ type : " rule"
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+ severity : " medium"
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+ source : |
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+ type.inbound
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+ and (
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+ // Twitter logic
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+ (
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+ sender.display_name =~ "twitter"
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+ or strings.ilevenshtein(sender.display_name, 'twitter') <= 1
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+ or strings.ilike(sender.email.domain.domain, '*twitter*')
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+ )
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+ // "X" logic
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+ or (
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+ (
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+ 2 of (
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+ regex.icontains(sender.display_name, '\bX\b'),
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+ strings.iends_with(sender.email.domain.root_domain, "-x.com"),
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+ strings.ilike(body.current_thread.text,
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+ "*content dispute*",
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+ "*copyright*",
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+ "*appeal*"
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+ ),
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+ strings.contains(body.current_thread.text, '1355 Market Street')
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+ )
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+ or (
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+ any(ml.logo_detect(beta.message_screenshot()).brands,
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+ .name == "X" and .confidence == "high"
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+ )
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+ and (
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+ any(ml.nlu_classifier(body.current_thread.text).intents,
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+ .name == "cred_theft" and .confidence == "high"
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+ )
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+ or any(ml.nlu_classifier(beta.ocr(beta.message_screenshot()).text).intents,
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+ .name == "cred_theft" and .confidence == "high"
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+ )
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+ )
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+ )
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+ )
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+ and any(beta.ml_topic(body.current_thread.text).topics,
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+ .name in (
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+ "Reminders and Notifications",
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+ "Security and Authentication",
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+ "Legal and Compliance",
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+ "Customer Service and Support"
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+ )
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+ )
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+ )
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+ )
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+ and sender.email.domain.domain not in~ (
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+ 'twitter.com',
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+ 'privaterelay.appleid.com',
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+ 'stripe.com',
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+ 'x.com',
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+ 'twitter.discoursemail.com',
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+ 'slack.com'
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+ )
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+ // negate Hearsay Systems which sends notifications from sender domain ending in twitter.com
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+ and not (
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+ strings.ends_with(sender.email.domain.domain, '.hearsay.twitter.com')
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+ and strings.ends_with(headers.message_id, '@hearsaysystems.com>')
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+ )
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+ and sender.email.email not in $recipient_emails
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+ attack_types :
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+ - " Credential Phishing"
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+ tactics_and_techniques :
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+ - " Impersonation: Brand"
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+ - " Lookalike domain"
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+ - " Social engineering"
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+ detection_methods :
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+ - " Sender analysis"
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+ id : " 2d4a1e87-3f31-5f5f-8700-7c2bbed30a40"
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+ og_id : " 013c32c2-fa05-5456-9c45-284e008ff6a4"
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+ testing_pr : 3023
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+ testing_sha : 958a80aa7b4adaf4dff5d38a2ca9a49bbd6d891a
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