Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16395B543E31A5509A67A98D4F05B7FA73C480A4EA1094AF47AADCB397CCF1772230BD5 |
|
CONTENT
ssdeep
|
3072:HGUA3A5s6sNkp92nNEQ2e9EwWd50JvInufkfI1H+Bx/J/7pSQl5hF1748jkqOgZ1:G3A5FPV8/AZ1rM6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a719b2075a275 |
|
VISUAL
aHash
|
ffffe7c3e7ffc3c3 |
|
VISUAL
dHash
|
96868e8e8c4c8e96 |
|
VISUAL
wHash
|
c3c3c3c3c3c7c2c3 |
|
VISUAL
colorHash
|
07000008600 |
|
VISUAL
cropResistant
|
96868e8e8c4c8e96,91c9ad525263abad |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.