Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176D29C30A9C6A9370093D1D49F7B975B72D0B34AC7430B05ABF8C3AC6BE9D5AED06548 |
|
CONTENT
ssdeep
|
192:j5yPgnZJ2cDT90eL5ofYxWCkWsVOWq9dXyt+P7LsDgN:j5fP2cDT902oSt+ADLP7LsDgN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc8c9933c6 |
|
VISUAL
aHash
|
cfe7c7cfffefefe7 |
|
VISUAL
dHash
|
104d5e1a1418180c |
|
VISUAL
wHash
|
c3e7c3c7030f0303 |
|
VISUAL
colorHash
|
07000008080 |
|
VISUAL
cropResistant
|
104d5e1a1418180c |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.