Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1D3E9287542103B2977D6D0ED64BF2A61D3F30FCE594854AAFC43A41FDBE7238A9864 |
|
CONTENT
ssdeep
|
3072:eRgLqr5kgnrk6LJFnAglP0EFN7FGzUpDcvY:eRn5kgnrk6LJFnAglP0EFN7FGzUpKY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c7cb3c39307831 |
|
VISUAL
aHash
|
fdfab0848292848a |
|
VISUAL
dHash
|
454244242e242c5a |
|
VISUAL
wHash
|
fdf8f494869084ba |
|
VISUAL
colorHash
|
0e010000200 |
|
VISUAL
cropResistant
|
454244242e242c5a |
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 1371 techniques to evade detection by security scanners and make reverse engineering more difficult.