Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9B263224957D51F920EE2D1A2E1F7A3D952EB07CBA00F81DDE84BC6DBA5E64F533008 |
|
CONTENT
ssdeep
|
384:wRkRZRhlTp5aNG0CC5lpMaKTHLOira40QtspeNZOANYFg03OAe/gvVOAcMgy2OAd:plTp5aNGMiltxNZOANK3OANVOAH2OA/1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
814fe0639d9ab6e8 |
|
VISUAL
aHash
|
00203c1e6867efff |
|
VISUAL
dHash
|
d8c5a878d0cdd596 |
|
VISUAL
wHash
|
00601c3e6867e7ff |
|
VISUAL
colorHash
|
18400031000 |
|
VISUAL
cropResistant
|
0000010001929202,f99e4664645c5861,13b593b58b82a5b2,58fc3ccccc96cce1,e9e0e0e8d8f086ce,8282820192929001,d8c5a878d0cdd596 |
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.