Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D63D972D2461503A01BC4C8F126C74E73528799CA038F7976BC17B9EACECF57A72299 |
|
CONTENT
ssdeep
|
1536:HZxjJp9e/l4VcfAJe50VhdaNvoIAO6v5+Le1LODCcQe6rxk222I2222222WJ/Jm8:j1VcERZ+61gQxk222I2222222UBkQ0EN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a96ecf72dbd8008c |
|
VISUAL
aHash
|
e10133cf4341fb7b |
|
VISUAL
dHash
|
03abe39b8b8b9bfb |
|
VISUAL
wHash
|
c10133cf43417f7b |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
03abe39b8b8b9bfb,1326668623233343,099964f131272b2b,1a6c2f1b0b632303,1326668623233343,4b4b3198d8d08c4d,3e92db4bd31a2b2b,256d4f7747596b23,1a6c6f1b0b632303,23274e4cce06370b |
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)