Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10EF29631B104663F11A7D3C9B362E72EA1E29289D74A090193FD836D4FE7EC1ED27526 |
|
CONTENT
ssdeep
|
768:XLy5NnxqoQaawFpaJUre7iZIIIIIIIIIwYP7mIIMlBMqNJLII6GJjmI7sOy2+y9B:cx3Qaaepa/iZIIIIIIIIIwYP7mIIMl3p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367b818fd4386c9 |
|
VISUAL
aHash
|
000020200000ffff |
|
VISUAL
dHash
|
4c4dcbcbf0ccc800 |
|
VISUAL
wHash
|
00e57120303cffff |
|
VISUAL
colorHash
|
31e00008000 |
|
VISUAL
cropResistant
|
6080802058d08000,4c4dc9c3cbe0ccc8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.