Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14313C77118C06B6B53D343C99360FA0BF2A19284E3B68A0AF5E6877E57C5D44CD27A9C |
|
CONTENT
ssdeep
|
768:U4O66yh5bSS1IlCPKReTpJ4e2IgHx70jaFsHEdCtXn7O/V6LSimeCTFFODvgM1+o:n6yDSGIlIKReTpJHaF0+SEQtrO/6gwx/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebcac8eac996 |
|
VISUAL
aHash
|
ff06060606fffffb |
|
VISUAL
dHash
|
71ecccccec1c3a13 |
|
VISUAL
wHash
|
fd060606060efff9 |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
00214161618501a2,96d6e8b294710f8e,e0181c2d3c131313,ececccccccececec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.