Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129730E22680E053FB257D3C5A1F4FAA7D991C90ACE304F44DAA9DFCECA91F12B675118 |
|
CONTENT
ssdeep
|
768:YhSEYiR4VV1NPbv/nPxt7B4EswkQ6aYU3KogVeuUsUF27:/EL4Vr27 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b7be6a4381954556 |
|
VISUAL
aHash
|
0087ffff67600000 |
|
VISUAL
dHash
|
d53d365ececa681b |
|
VISUAL
wHash
|
00c7ffffff602000 |
|
VISUAL
colorHash
|
31001218000 |
|
VISUAL
cropResistant
|
b6fef6fcfcfefe3e,486464f0f8f9b9f9,95e1f05868d0d364,70736393d3525070,2ba3456d4932a233,4545a4c4e44c5c4c,70e0e9a9a4e4eccc,d53d365ececa681b |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.