Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBC2587260505B3B02A3C3DDB7A1BF1EB2D3864DC68A191642FD836D17E7F00AD27596 |
|
CONTENT
ssdeep
|
768:Qe4lCbRz5+gIH83MUO7sOy2+y9BH4crIe:YCVQgp87sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3039671bc3cbc8c |
|
VISUAL
aHash
|
002400000000ffff |
|
VISUAL
dHash
|
dcc9c8ccc8c8c800 |
|
VISUAL
wHash
|
067c3c206060ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
0080880458988000,dcc9c8ecc8c8c8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.