Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE317632700468292433878AFB957F260259D388DB0E29057ADE976C9FD9D41FC2624C |
|
CONTENT
ssdeep
|
24:hR/Y9CnBURhMZlddjojhllV9DOoIMqQ+v1v/50Pa65qkKzX:TwXgTIop1v27qZX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2a53478d20f8fd9 |
|
VISUAL
aHash
|
7fc37f3dfd00007f |
|
VISUAL
dHash
|
ce16c0c9911929a8 |
|
VISUAL
wHash
|
7fc37f3dfd000014 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
ce16c0c9911929a8 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.