Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BE165E1C118DD36071246D6F7F52B5FB5D2C349CB06098463F842EB9BCBC60DB16A99 |
|
CONTENT
ssdeep
|
96:TkwQ7moh4lzH0XfeGUEdt7KsQwvF0e5XMHFPeRX4z/nt7sqQPJ:Q/7moh4lzH0X1UEdLJ6E6zfGqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba106d4f6d5f301a |
|
VISUAL
aHash
|
00ffc7ffffff9981 |
|
VISUAL
dHash
|
64008e0c302b2b2b |
|
VISUAL
wHash
|
00ffc3e78fc78181 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
400c8f00102b2b2b,0000020414040200,8caeaaacaa88ac11 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.