Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8E2E732A1102A3F0193C3C9B722F72EB2F39289DB4A051556FD479E4BE6D88DD1365B |
|
CONTENT
ssdeep
|
384:ALy5NuKr2ukcAe0uQhMVbr6Ah3klmrphWTeMXK+terCKIYsOy2+y9BH4ciUIe:ALy5NuK3l4xKYeB7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36db839ed12c592 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c47c9c1c848fc00 |
|
VISUAL
wHash
|
00e17d30202cffff |
|
VISUAL
colorHash
|
31c00008200 |
|
VISUAL
cropResistant
|
5cfc00a858588000,4c47c7c9e4c8c8fc |
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.