Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFF319B9A328653FD10B87CCFF20F535622EB2DDF992C390A22D475E5285E915D2B780 |
|
CONTENT
ssdeep
|
3072:STEbwwwwwwwwwwwwwwwwwwwN9hbwl139wwwwwwwwwwwwwwwwwwwa:l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c79acf38386c8c8e |
|
VISUAL
aHash
|
3c3c3c0004303070 |
|
VISUAL
dHash
|
71e960d4dcc0c4c4 |
|
VISUAL
wHash
|
7d3c3c003c3c7c7c |
|
VISUAL
colorHash
|
30010200600 |
|
VISUAL
cropResistant
|
71e960d4dcc0c4c4 |
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 2372 techniques to evade detection by security scanners and make reverse engineering more difficult.