Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196E2D832B1103B3B4197D2DDB362F35EE6A74209EB460445A2FD836D0BE3D94DA3752A |
|
CONTENT
ssdeep
|
768:lSky5NEe1UBrBhAl9dCW7sOy2+y9BH4crIe:+4nwj7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc18ed28c7a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
92ccc8c2caccac00 |
|
VISUAL
wHash
|
0064fc702034ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,d08cc8c2c2c8cc4c |
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.
Pages with identical visual appearance (based on perceptual hash)