Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17663877102876E3F104346E88358E72AD7C2D209D7A78A46EBE8435B62CBDE4ED3D174 |
|
CONTENT
ssdeep
|
1536:yh4FS6Q7CDcnN0MdsYqI9E20liGk7F01ax8RQ8RT:pM0dlvd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e841a0bc376eb693 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
96d38b131c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
915456ba922b2b46,38789d9c8c8c8d8f,5241c5edb39b0c94,82a28a969696a882,c53a382327400f0c,968fb3d3832b3397 |
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)