Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10EE2C9327110773751A792CDB3A2F71AA3E35289EF460405A2FD836D0BE3D64EA33526 |
|
CONTENT
ssdeep
|
768:qSky5NfyB+3wZCK/Hd7sOy2+y9BH4crIe:uUAs+7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc1eed28c1b3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
928cccc2caccec00 |
|
VISUAL
wHash
|
0064e4707034ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,928cccc2c2c8ccdc |
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.