Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D313DF30A801ED2702EB96C95576572A62E6834ACA530689FAF4C7FD5BDFC2CDE33501 |
|
CONTENT
ssdeep
|
768:TumgEMDTKcZZK2SzzYsJSAsVqU5OhWQOsIx/jkUf79F:qmgEMDhS9J2Vn5OhWQOsIxH79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ae2f5cb66093e29 |
|
VISUAL
aHash
|
ffff000101080800 |
|
VISUAL
dHash
|
c4dc3ff1d5f1b22e |
|
VISUAL
wHash
|
ffff01191d3d1802 |
|
VISUAL
colorHash
|
0a039000000 |
|
VISUAL
cropResistant
|
0281dcc000080004,7ae7c307cb0f0f5f,3232962929f3e1f1,5c58b3b3b3a32424,8e88ac8b8b8e888e,0080718f8ece1000,3d33f1d5f9f3b22e |
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 72 techniques to evade detection by security scanners and make reverse engineering more difficult.