Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11802BC61205245F7469789D06022FF5A71A6F31EC557E10097FC428A2FDBCFAFB2E8A1 |
|
CONTENT
ssdeep
|
96:T/eTinuxR7+oOrECdST3xTKOLsqr1wKraNMG5fq5sml+eOrECdSTNEJ:jiLYEz5xwmaNMGks4GEzg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6d13166c6d5316 |
|
VISUAL
aHash
|
00fffff19fffffff |
|
VISUAL
dHash
|
a600c42337002200 |
|
VISUAL
wHash
|
00f0c18180f4c1cb |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0216032330022200,01c632a6a6362681 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.