Brand impersonation: Norton
Scans files to detect Norton (Lifelock|360|Security) impersonation.
Sublime rule (View on GitHub)
1name: "Brand impersonation: Norton"
2description: |
3 Scans files to detect Norton (Lifelock|360|Security) impersonation.
4references:
5 - "https://techaeris.com/2021/10/23/psa-watch-out-for-norton-lifelock-phishing-emails/"
6 - "https://playground.sublimesecurity.com?id=31310ef5-8725-49b8-9c33-6b18ecdb5ba0"
7 - "https://playground.sublimesecurity.com?id=a67bc61c-28f0-4904-a046-4584e706697d"
8 - "https://playground.sublimesecurity.com?id=3f5809c9-43cf-4f0c-a709-6f9e3912dbb4"
9type: "rule"
10severity: "low"
11source: |
12 type.inbound
13 and sender.email.domain.domain != "norton.com"
14 and any(attachments,
15 (.file_type in $file_types_images or .file_type == "pdf")
16 and (
17 strings.ilike(.file_name, "*norton*")
18 or any(file.explode(.),
19 regex.icontains(.scan.ocr.raw,
20 ".*norton.?60.*",
21 ".*lifelock.*",
22 ".*norton.?security.*"
23 )
24 )
25 )
26 )
27 and (
28 (
29 // if freemail, flag if it's a first-time sender
30 sender.email.domain.root_domain in $free_email_providers
31 and sender.email.email not in $sender_emails
32 )
33 or (
34 // if custom domain, we want to avoid flagging
35 // on the real Norton invoices
36 // so we flag if it's not a first-time sender
37 // and if it's not in the tranco 1M w/ a reply-to mismatch
38 // for example we've observed:
39 // Sender: Norton <quickbooks@notification.intuit.com>
40 // Reply-to: foo@outlook.com
41 sender.email.domain.root_domain not in $free_email_providers
42 and sender.email.domain.domain not in $sender_domains
43 and (
44 sender.email.domain.root_domain not in $tranco_1m
45 or any(headers.reply_to, .email.domain.domain != sender.email.domain.domain)
46 )
47 )
48 )
49attack_types:
50 - "Credential Phishing"
51tactics_and_techniques:
52 - "Free email provider"
53 - "Impersonation: Brand"
54 - "Social engineering"
55detection_methods:
56 - "Content analysis"
57 - "File analysis"
58 - "Header analysis"
59 - "Sender analysis"
60id: "32bd9efd-67ba-54e2-81d0-89cf16e85a70"