Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119A20CDD5250483380C3ADE72A76034F22DEC555D806FEA66F9883D72DDAF968807B4B |
|
CONTENT
ssdeep
|
384:MIn/tYtbtRtctOtUtNtvMT7377NpZkGZX6v2NvZgqZEfv2YvinlqCQ:MIn/tYtbtRtctOtUtNt0XNHkeKv2NBZ0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c36b49d369c369c |
|
VISUAL
aHash
|
7e18101818181800 |
|
VISUAL
dHash
|
b63322323232b200 |
|
VISUAL
wHash
|
ffb8181818181800 |
|
VISUAL
colorHash
|
310090080c0 |
|
VISUAL
cropResistant
|
8000cccc8cb000a2,b63322323232b200 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.