Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178E295702015BDBF0143D1A6A7205B8EA4E597B9DA239B8873F5D61E3FCBC54CE14268 |
|
CONTENT
ssdeep
|
384:D5vcWHl8vKo0Ia2ZA1egeegQxegjegpegYegiui1eDL+cbVAO4:FvcWF8vWIa2ZAlTuihcbVAz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf4ab3961e6ae0e0 |
|
VISUAL
aHash
|
fcb9f010f8ffffbf |
|
VISUAL
dHash
|
cd63737322020d5d |
|
VISUAL
wHash
|
fc30b010f0f8e78f |
|
VISUAL
colorHash
|
07003010000 |
|
VISUAL
cropResistant
|
cd63737322020d5d,2e2371652f6d313c |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.