Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C53343C62C1563550CB87B2E5A49F29D29DCBD9DF27AE8BF3ACC247178AC458F41260 |
|
CONTENT
ssdeep
|
768:8Uf5FfjqE0zbfXHwo4xBg28OJi1v3PZYGEWblOiyeS5V:1fuEZc1v3PxEWb4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9afd0bac0eacad0 |
|
VISUAL
aHash
|
ff0b0b2303030100 |
|
VISUAL
dHash
|
3bd7d3d3d7d79390 |
|
VISUAL
wHash
|
ff0b1b7b1303035a |
|
VISUAL
colorHash
|
07600008040 |
|
VISUAL
cropResistant
|
2bdff3d3d3d7d7b3,2040838b73a36393,dfd3d3d3d7d39a90 |
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 280 techniques to evade detection by security scanners and make reverse engineering more difficult.