Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A62202F2D050D936076341C5B676BBAB77E2C289CF131A1413F853AB67CED9199024DE |
|
CONTENT
ssdeep
|
192:C/Upe/UI/UR/X9zYhh9lk/A8iI4H4pJF/AZu9ZNg6ZN5ZcF38KzYU8F:CcpecIcRZG9lk417H4pJFoZ4ZpZDZY8x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1738cce277103d9 |
|
VISUAL
aHash
|
ffffc3c3e7ffdf7f |
|
VISUAL
dHash
|
0a189e9e0c2816ce |
|
VISUAL
wHash
|
00ffc3c3c3e7c303 |
|
VISUAL
colorHash
|
07c40000000 |
|
VISUAL
cropResistant
|
0a189e9e0c2816ce,fffffcfdfcfdcdfd |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.