Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6E2E8327110763B119783CDB3A1FB6EE6E35249EA460401A1FC83AD4BE7C95DA3B527 |
|
CONTENT
ssdeep
|
384:LSky5Nx/DjIfN2K/o83Lfqsad65xa+7yhy21IYsOy2+y9BH4cCUIe:LSky5Nx/KXvZl2L7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1aed06c7a2 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d08cc8c2cacccc00 |
|
VISUAL
wHash
|
0064fe702024ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0c0080025cd88000,d08cccc2c2c8cccc |
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.