Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173F29630E1C5343B827366CCF625672AB1E3824EC6534A1CB6FCC5EAABC6C94DE15199 |
|
CONTENT
ssdeep
|
384:V8NHyJRsgknhiUiyfiUiCnqLwrfmqiB3YCFuXePcQ7FpP/mMd:VyyJFknYbyKbkqLa03VFuecGFVmo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9ae1d530ce6193c |
|
VISUAL
aHash
|
fbfff3f108ece088 |
|
VISUAL
dHash
|
4227272793998832 |
|
VISUAL
wHash
|
b9fff1f100ece008 |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
34f4b1e96cd80e4b,30d6ccd8b6b652d1,4227272793998832 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 42 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)