Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D53923601413A3F109343D1DB6DF35FA3D1D648CBA14947EBEC831A668BDA0DF2A566 |
|
CONTENT
ssdeep
|
1536:Wbt0TfHNLIGYX26MQ68c6Qy6h/6Oupdxm/r8pd/Tmc3iUT:RztkGy26MQ68c6Qy6h/6O/mT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
968f38e3c1c9c3c9 |
|
VISUAL
aHash
|
00003e7e7e6e0000 |
|
VISUAL
dHash
|
6934eccccccc3334 |
|
VISUAL
wHash
|
3d0c7e7e7f7e0000 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
6934eccccccc3334,78470b4e1cb4b4b5,0f0f0f174323138b,b861c51ad89858e0,a2d6572fdd656f49 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)