Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108234A726332B8B843DB91DEE7392A06B2D2988DF9C74554F1C85ACD13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aX+jb+EsZx8/G8Rj4yDawGMDB0wZMDBqUcix+y9dQpUDF1E56ITmHDLBABW8KPqA:aX+jb+EsZ/8RMyDawGMDB0wZMDBqUXxb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d972e648d872cccc |
|
VISUAL
aHash
|
c10000001800ffff |
|
VISUAL
dHash
|
8d48294c32320e00 |
|
VISUAL
wHash
|
ff0018083c08ffff |
|
VISUAL
colorHash
|
31031000000 |
|
VISUAL
cropResistant
|
00000c0c0c080000,8248104d4d142082,0200000000000000,814828081ab2300e |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.