Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B023F93104C46B6B46D342C993109A5FF39252C4E2B78A9EE5EBC32E56C6D45CC37B6C |
|
CONTENT
ssdeep
|
768:SrLro3b4ivBLQafDaoYyuc0/0ogkmO/+faCIp/kri+PjyIvMj1SCEJzf:SrLrqb4ipQaf28uc2OkmO/+SC8U3Kj1K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebcacbda8496 |
|
VISUAL
aHash
|
fd0006060606ffff |
|
VISUAL
dHash
|
71ccccccecec3b73 |
|
VISUAL
wHash
|
ff0606060600ffff |
|
VISUAL
colorHash
|
130000001c0 |
|
VISUAL
cropResistant
|
000109616189014a,96d6e8b284710f8e,c03033483b731373,ccccccccccececec |
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.