Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F7322319729367B80FED4D1AE2657AB73B3F50AC5930651A7F8C3583BC4D04AE1193A |
|
CONTENT
ssdeep
|
384:E63IuUD5QhQ6XO6NkcccccccqdNccccccccccccccccc/bO1c//ccGtmesTMR8fA:5IkxXO6NzMjMfNs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e363999c319698c7 |
|
VISUAL
aHash
|
e3e1e1c1e1ffffcf |
|
VISUAL
dHash
|
4f4b4f0f4f300d9e |
|
VISUAL
wHash
|
a181a181c1dfe7cf |
|
VISUAL
colorHash
|
06200008042 |
|
VISUAL
cropResistant
|
4f4b4f0f4f300d9e,e0e5cd4581958909,5cb61f969416174f,d9b96b66e282364e,0026497171690620,c0c0e0e4e0e0e464 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.