Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C8329A43A5DF5625AF3439710AF1503B378562B140E4D206350FCAE76BCC9BA0A7FDA |
|
CONTENT
ssdeep
|
1536:H1fXPvbpWpFo2h20VTgHd8tVPTMnEXCd0uq+wSRKF:1XspMug98nKd0+w1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8b3279614cc4dc6 |
|
VISUAL
aHash
|
07cfd9d8dcf8f900 |
|
VISUAL
dHash
|
9e9bbbb13ca1e3c3 |
|
VISUAL
wHash
|
07cfc9d8dcf87900 |
|
VISUAL
colorHash
|
07c00000001 |
|
VISUAL
cropResistant
|
9a8bb3b13ca1e3c3,fcf8f8f8f8f0f0e0,9e9e9b8bb3b3382c,8bb3b33820e1e3c2 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.