Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166F199335044663B0207E3CF6F32674EB5E3673DCEB20F5192F592EA9786D55AE5080A |
|
CONTENT
ssdeep
|
96:zBAWAYG13/W7cRUJZuMkHBQRAcKA16zRJIJ81JuJSFur32P+VV1vxZ40262630fP:9dAYGBJBhQ9cb0V4Bk5EAChru0nwGBj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3b349996763b641 |
|
VISUAL
aHash
|
00ffffffffff0000 |
|
VISUAL
dHash
|
d0c0c8cc0050c8e8 |
|
VISUAL
wHash
|
00ffffffff000000 |
|
VISUAL
colorHash
|
07006000200 |
|
VISUAL
cropResistant
|
d0c8c0ccccccc8c0,00d0d0c9c9e048e0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.