Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DE2D932B2107A3B0297D3C9B3A2F71AA2D39149E78A041592FDC36D0BE7D55DA33527 |
|
CONTENT
ssdeep
|
768:USky5N6h50N2cLcz1uE7sOy2+y9BH4cLIe:wmQQE7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc18ed26c7a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d2ccc8c2cadcec00 |
|
VISUAL
wHash
|
0064fc70202cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,d08cc8cac2c8ccec |
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.