Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E651115151128C666073C9D8B7F41B5631C0C208C7DB1A3423FD97BD6ADEDBBBE12295 |
|
CONTENT
ssdeep
|
48:Iu5jwuNPV1+aoWTnZGVyGRyg9Rd8rEdavzs8iI6swn0uK+FTGrUm:IkjF9x0zNMFaWUm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a342e433ccccd9dc |
|
VISUAL
aHash
|
6727ff7f0f0f0fcf |
|
VISUAL
dHash
|
cccd90cc5cdcec0c |
|
VISUAL
wHash
|
7f274f2707070707 |
|
VISUAL
colorHash
|
07200038040 |
|
VISUAL
cropResistant
|
cccd90cc5cdcec0c |
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 502 techniques to evade detection by security scanners and make reverse engineering more difficult.