Sublime Security high experimental mql
Attachment: PDF with QR code containing recipient-specific credential theft content
Detects PDF attachments containing QR codes that include the recipient's email address (either plaintext or base64 encoded) combined with credential theft language detected through natural language processing. This technique personalizes the attack by incorporating the target's email into the QR code URL while using PDF content to establish credibility.
Detection Logic
type.inbound
and any(filter(attachments, .file_type == "pdf"),
( // the strings produced by the PDF scanner contains cred theft language
any(filter(file.explode(.), .depth == 1 and .file_name == "text"),
any(ml.nlu_classifier(.scan.strings.raw).intents,
.name == "cred_theft"
)
)
)
// there is a QR code
and length(beta.scan_qr(.).items) > 0
// QR code contians the recipient email
and any(beta.scan_qr(.).items,
.url.domain.valid
and any(recipients.to,
.email.domain.valid
// QR code contains the email
and (
strings.icontains(..url.url, .email.email)
// QR code contains the base64 endcoded email
or any(strings.scan_base64(..url.url,
format="url",
ignore_padding=true
),
strings.icontains(., ..email.email)
)
)
)
)
) Field Validations
Loading…
Comments (0)
Loading comments...