Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182423230509C1E3784D3D4D4B7E19F2F62D1C285D35BAB9563F886AA9FCAC418D392E8 |
|
CONTENT
ssdeep
|
192:+OwLqkZ5sw0BvbMVp1pV5DKBVhVilNw5jv6UVfV7lzns9eLI:+OwLqkZ5Vu45sjSglzs9V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2f322e322f223f3 |
|
VISUAL
aHash
|
0000ffffffffff00 |
|
VISUAL
dHash
|
4d100808120400fe |
|
VISUAL
wHash
|
00ffe7ff07030700 |
|
VISUAL
colorHash
|
07000008006 |
|
VISUAL
cropResistant
|
0000080c0c0a08f5,9008080002020488,fff7000800000000,ffffffffffffffff,ffffffffffffffff |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.