Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112F3C5F0E1B4357F009692D9BA047799B7D1C0CEEF100F9AD3E5CB88564AF85E92225D |
|
CONTENT
ssdeep
|
3072:KJTAgZ2oJVtrYJVtrPxYTAgTQoJVtrYJVtrPxETAgTQoJVtrYJVtrPxETAgTQoJn:Kh32oJVtrYJVtrPxsVQoJVtrYJVtrPxM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93cd366969368639 |
|
VISUAL
aHash
|
007e7e7e787e0e06 |
|
VISUAL
dHash
|
d3dcdcd0d2d0cc8c |
|
VISUAL
wHash
|
007e7e7e787e0606 |
|
VISUAL
colorHash
|
06000000c00 |
|
VISUAL
cropResistant
|
2cb95909296e0d4d,d3dcdcd0d2d0cc8c,8e8eccdcd8c8c8d6,cb3311cbd307c8d6 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)