Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D21162180548C279511D1DCBFC1F9163DD4C7D18E1B4A0C53FCD32E66D6E6ADD85265 |
|
CONTENT
ssdeep
|
24:hR/KVMtk4PP3dARGdIP2W9D6VKdWwN9uNyG0/yauYSgHmIm:TyeVARGdIPdR86HuPwGR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c6c1f9be0640f9b |
|
VISUAL
aHash
|
1f1f1f1f1f1f1f1f |
|
VISUAL
dHash
|
747474b6b4747474 |
|
VISUAL
wHash
|
0f0f0f03070f0f0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8080889898808080,00304cb2b24c3000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)