Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9F3FA20151CDD67029AE2EA79B4676FF2D1831BCA530B2513F8C78F2BD5E84CE69439 |
|
CONTENT
ssdeep
|
3072:ayKACv6t4CgTBRUnce81h/aJEfU0o7QDFgClnUFGw4uEFIrngUT0MfU3uXdZIl+I:hx6M4C0Gng9ZJ1+1L+sgqfMeNasfGbyO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e8673d961669869 |
|
VISUAL
aHash
|
1c3e3e36183c0000 |
|
VISUAL
dHash
|
f0e4e4e4b2f0ccf0 |
|
VISUAL
wHash
|
7e7e7e7e3c3c0000 |
|
VISUAL
colorHash
|
30206008000 |
|
VISUAL
cropResistant
|
f0e4e4e4b2f0ccf0 |
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 164 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)