Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181C29572A110273F0293C3C9B351B72EA2D3824AD785181653FCC76E1BE7E50ED6362A |
|
CONTENT
ssdeep
|
768:5SXy5NSoPZtdeUkJaQaUDzoNLb67sOy2+y9BH4crIe:ZPZtdeUkU7+zo567sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd12922dc192 |
|
VISUAL
aHash
|
000000000400ffff |
|
VISUAL
dHash
|
0c4dc3c3cc44e400 |
|
VISUAL
wHash
|
80f771300c00ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
208080106c888000,1c4dc3c3c9ccc4e4 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.