Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBD2C573A6407D335133C5D9E44A6BD8D8E6896BDB148CA0FBD845A9B3C2CED49322D8 |
|
CONTENT
ssdeep
|
768:rlPD//3PfCiW26kuXS5WAKiLRZoz/J0F7mVmBmZmbm/mnmnm0md8lPD//3PfIYvs:nHCGGc4AIlEAOACGGc4AIl0g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3434cbc3c4169ba |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
00c8c8d03e2a3b3e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
dc0c24e6b6b6c4c7,3c3e232f2f1b302e,c00020c8c2c8d0d0 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.