Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E563763292869C139097C2D9B1708B1E3381C785C7174F6563F957BEBECACB6AD2129C |
|
CONTENT
ssdeep
|
1536:sUy3mI91B1ah3iOio131x1Mt2/l171D1F1kXgQThvfyeeeewyeqeMeeeeHIeeeeb:qjah3iOiilzMt2PZBnK12ta/+K83EDI8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3cd363893c99269 |
|
VISUAL
aHash
|
3430787a40464646 |
|
VISUAL
dHash
|
6927e2d29a8a9a8c |
|
VISUAL
wHash
|
f0b0fefac2c64246 |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
6927e2d29a8a9a8c,73726ae3230f360f,5616898170084c4c,2764e7f7e3ca6823,d7693248cccc442c,3d341c3e1693de4f,9793d6c569a27171 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)