Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10302C9315549BA3B41C3D3D4A7326B1FA3D28246C923470AA3F8C7AC1FD2CA5DD66A24 |
|
CONTENT
ssdeep
|
96:TgCVyS2H1WLzqtIAbEJnm6J7udoYhom72YE2WkDaeJqsXt4D0Apv0mU2stI5ziPX:LPS1kGtJbEJnYWtPeJN4jyBf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93437cbc161c69e3 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
b0c8c2d4dc3a3048 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
dc1a1a1a30309008,98a0b0c8d0d032d4 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.