Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D13231E1D054ED37475385D9A7B6BB2B37A1C308CF021A54A3F893AB57C9CA0CB119DA |
|
CONTENT
ssdeep
|
192:QhPngknzDJ1Uzt8is8hIwyi+Tjnmr4ONZ8F:QhIkzNw1s8hNyi+fm1Z8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93987c60cdc86e6 |
|
VISUAL
aHash
|
dfc3c3c3c3ffff7f |
|
VISUAL
dHash
|
331b1f1b1b0c1ed0 |
|
VISUAL
wHash
|
c381818181e7ff3f |
|
VISUAL
colorHash
|
07203000080 |
|
VISUAL
cropResistant
|
331b1f1b1b0c1ed0,9b83033e1e4f6f8a,24e1d9534366e6e7 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.