Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C32643151B4F43B10C7A5EAE3F09746D3D28217CE561A55E2F5C2988BE2DCACD2709A |
|
CONTENT
ssdeep
|
96:ZW2dw0AoUCwQc4e+W9s+WYw+W7z+W/9y+WOQ+WT0+WYA+W7H+Wm1+WGhTr0jSCdF:ZW2dZAoLLIW5TgTUxPaMTImCLLa+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1d401f44fd425de |
|
VISUAL
aHash
|
feffffffffc3ff00 |
|
VISUAL
dHash
|
a017140600961463 |
|
VISUAL
wHash
|
00c3cfdfdfc3c300 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
a01714060016146b,0008103030100800,85030b2b8b1b8040 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)