Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BC29571A114673B03A3C2C9B3B0B71E63D3428ED78A191553FD836D4BEBE40AE27656 |
|
CONTENT
ssdeep
|
384:fe4rlpLLxsTf3yWccxpK25z+xoVbZjJ005IYsOy2+y9BH4cCUIe:fe4rHxoj1ixonjJV7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3069433bd3cb4ac |
|
VISUAL
aHash
|
003000000000ffff |
|
VISUAL
dHash
|
dcc8e4c8c8c8c800 |
|
VISUAL
wHash
|
067c34206064ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0c00980258988000,dcc8c0ecc8c8c8c8 |
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.