High Severity
Callback Phishing: SumUp Infrastructure Abuse
Description
A fraudulent invoice/receipt found in the body of the message sent by exploiting SumUp's receipt email service.
References
No references.
Sublime Security
Created Apr 18th, 2025 • Last updated Apr 18th, 2025
Feed Source
Sublime Core Feed
Source
type.inbound
and sender.email.domain.root_domain in ("sumup.com")
and (
strings.ilike(body.html.display_text, "*delivery note*")
or strings.ilike(body.html.display_text, "*made with sumup*")
)
// keep in sync with https://github.com/sublime-security/sublime-rules/blob/main/detection-rules/paypal_invoice_abuse.yml
and (
(
// icontains a phone number
(
regex.icontains(strings.replace_confusables(body.current_thread.text),
'.*\+?([ilo0-9]{1}.)?\(?[ilo0-9]{3}?\)?.[ilo0-9]{3}.?[ilo0-9]{4}.*\n'
)
or regex.icontains(strings.replace_confusables(body.current_thread.text),
'.*\+[ilo0-9]{1,3}[ilo0-9]{10}.*\n'
)
or // +12028001238
regex.icontains(strings.replace_confusables(body.current_thread.text),
'.*[ilo0-9]{3}\.[ilo0-9]{3}\.[ilo0-9]{4}.*\n'
)
or // 202-800-1238
regex.icontains(strings.replace_confusables(body.current_thread.text),
'.*[ilo0-9]{3}-[ilo0-9]{3}-[ilo0-9]{4}.*\n'
)
or // (202) 800-1238
regex.icontains(strings.replace_confusables(body.current_thread.text),
'.*\([ilo0-9]{3}\)\s[ilo0-9]{3}-[ilo0-9]{4}.*\n'
)
or // (202)-800-1238
regex.icontains(strings.replace_confusables(body.current_thread.text),
'.*\([ilo0-9]{3}\)-[ilo0-9]{3}-[ilo0-9]{4}.*\n'
)
or ( // 8123456789
regex.icontains(strings.replace_confusables(body.current_thread.text),
'.*8[ilo0-9]{9}.*\n'
)
and regex.icontains(strings.replace_confusables(body.current_thread.text
),
'\+[1l]'
)
)
)
and (
(
4 of (
strings.ilike(body.html.inner_text, '*you did not*'),
strings.ilike(body.html.inner_text, '*is not for*'),
strings.ilike(body.html.inner_text, '*done by you*'),
regex.icontains(body.html.inner_text, "didn\'t ma[kd]e this"),
strings.ilike(body.html.inner_text, '*Fruad Alert*'),
strings.ilike(body.html.inner_text, '*Fraud Alert*'),
strings.ilike(body.html.inner_text, '*fraudulent*'),
strings.ilike(body.html.inner_text, '*using your PayPal*'),
strings.ilike(body.html.inner_text, '*subscription*'),
strings.ilike(body.html.inner_text, '*antivirus*'),
strings.ilike(body.html.inner_text, '*order*'),
strings.ilike(body.html.inner_text, '*support*'),
strings.ilike(body.html.inner_text, '*sincerely apologize*'),
strings.ilike(body.html.inner_text, '*receipt*'),
strings.ilike(body.html.inner_text, '*invoice*'),
strings.ilike(body.html.inner_text, '*Purchase*'),
strings.ilike(body.html.inner_text, '*transaction*'),
strings.ilike(body.html.inner_text, '*Market*Value*'),
strings.ilike(body.html.inner_text, '*BTC*'),
strings.ilike(body.html.inner_text, '*call*'),
strings.ilike(body.html.inner_text, '*get in touch with our*'),
strings.ilike(body.html.inner_text, '*quickly inform*'),
strings.ilike(body.html.inner_text, '*quickly reach *'),
strings.ilike(body.html.inner_text, '*detected unusual transactions*'),
strings.ilike(body.html.inner_text, '*without your authorization*'),
strings.ilike(body.html.inner_text, '*cancel*'),
strings.ilike(body.html.inner_text, '*renew*'),
strings.ilike(body.html.inner_text, '*refund*'),
strings.ilike(body.html.inner_text, '*+1*'),
regex.icontains(body.html.inner_text, 'help.{0,3}desk'),
strings.ilike(body.html.inner_text, '* your funds*'),
strings.ilike(body.html.inner_text, '* your checking*'),
strings.ilike(body.html.inner_text, '* your saving*'),
strings.ilike(body.html.inner_text, '*transfer*'),
strings.ilike(body.html.inner_text, '*secure your account*'),
strings.ilike(body.html.inner_text, '*recover your*'),
strings.ilike(body.html.inner_text, '*unusual activity*'),
strings.ilike(body.html.inner_text, '*suspicious transaction*'),
strings.ilike(body.html.inner_text, '*transaction history*'),
strings.ilike(body.html.inner_text, '*please ignore this*'),
strings.ilike(body.html.inner_text, '*report activity*'),
)
)
or regex.icontains(body.current_thread.text,
'note from.{0,50}(?:call|reach|contact|paypal)'
)
or any(ml.nlu_classifier(body.current_thread.text).intents,
.name == "callback_scam"
)
or (
// Unicode confusables words obfuscated in note
regex.icontains(body.html.inner_text,
'\+𝟭|𝗽𝗮𝘆𝗺𝗲𝗻𝘁|𝗛𝗲𝗹𝗽 𝗗𝗲𝘀𝗸|𝗿𝗲𝗳𝘂𝗻𝗱|𝗮𝗻𝘁𝗶𝘃𝗶𝗿𝘂𝘀|𝗰𝗮𝗹𝗹|𝗰𝗮𝗻𝗰𝗲𝗹'
)
)
or strings.ilike(body.html.inner_text, '*kindly*')
)
)
)
Playground
Test against your own EMLs or sample data.