Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6D2BA306844ED2701DF9AC85632526A62F69349CA53068AFEF4C7F95BEFC6DCA33105 |
|
CONTENT
ssdeep
|
384:HSs8VroUa876sJO5xVZjqTSbK3E1A+E02jpNByKft:tDUf76sIx/jTK3+GpNByKF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c56ad338dc027d87 |
|
VISUAL
aHash
|
0000000018007eff |
|
VISUAL
dHash
|
89c8c6f0b232f0c8 |
|
VISUAL
wHash
|
043c303c1e1a7eff |
|
VISUAL
colorHash
|
39009000600 |
|
VISUAL
cropResistant
|
b2f0ccc8c4e82aaa,89c8c6f0b232f0c8 |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.