Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E273967292502437617B79DAF065771AA2D3D74FCA8246E1A2F8939A0FD6CE1FC1340E |
|
CONTENT
ssdeep
|
1536:4TiXWn9rW70+s8+NahSUuOoedzAZK7H87HZ7H87HU7HY7HQ7HY7H/T7HY7H17Hb1:EiXWI700I8duO9D7c757c70747w747fs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4471263c99cecbc |
|
VISUAL
aHash
|
0000d3ffc3c3dfdf |
|
VISUAL
dHash
|
ecc8b6301e0e3032 |
|
VISUAL
wHash
|
0000d3cfc3c3cfdf |
|
VISUAL
colorHash
|
07001008180 |
|
VISUAL
cropResistant
|
ecc8b6301e0e3032,999913276f636399 |
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 208 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)