Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D3271B052A9AD3E415381DAE37A272E30D5D2AEDF8F030097E953F90AD7D59EC26091 |
|
CONTENT
ssdeep
|
192:M7TzHTxTkE1uLEfsh3l9TSguqTlchwTqKYDDcTHgIIUA3/TzvyhiNQC:M/lkE1u4fsh3/SguKlchYqzDcAII17zt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
848b9b26eed92d62 |
|
VISUAL
aHash
|
ff52085ae700185e |
|
VISUAL
dHash
|
b2d496b08696b2b2 |
|
VISUAL
wHash
|
ff5a005ee702187e |
|
VISUAL
colorHash
|
00000038000 |
|
VISUAL
cropResistant
|
8f562b2b551771b5,8080001818008080,b2d496b08696b2b2 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.