Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5F2D9319244293B45E383D8FB755B0EB3A2C246D2A30293C5F5D34DEAEACE0DD4D668 |
|
CONTENT
ssdeep
|
768:Yv317JasnXCSj/7DHZj30RjSUZjZjslEV/fgpIHVd9ELhZqM:Y97P5jhj30RjSUZjZjsCV/fgpIHVd9Ej |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f55c024755783a6e |
|
VISUAL
aHash
|
00ffd3d2f2ffffe7 |
|
VISUAL
dHash
|
d004b7b606000c4c |
|
VISUAL
wHash
|
00ffd1d2f2ff0c00 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
d004b7b606000c4c,010303030b0b0001 |
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 88 techniques to evade detection by security scanners and make reverse engineering more difficult.