Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134C266706180D53B1283C2E1A3F62B7E328AC241CE13159AA7F4835E8FD7DD4DE66769 |
|
CONTENT
ssdeep
|
192:G7G0+WjSJ5A+0dtJ6YIYDIFHMgXwm5t+swHQli3N0rIhIlTPlWjWzc:G7G/Ws6HT5DuHzXX5tDwHwidCIhwkWzc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc68c3c796d0413e |
|
VISUAL
aHash
|
7c81818f9ffeffff |
|
VISUAL
dHash
|
d82333342a002e2c |
|
VISUAL
wHash
|
4881818983e2ffff |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
d82333342a002e2c |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.