Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FD133E1C114DD360752C5D9B7F56B1B76A2C349CB07098493F883ABABCEC70CB62599 |
|
CONTENT
ssdeep
|
96:TkxaVZzH0LgSTKKiEdt7l+P/wvF8emWXcHF5eaGX+dX/NIt7laCSTu1nR:QxaVZzH0LZLiEdr+P0mfq8XOra/61R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9e43dc4390cc3c7 |
|
VISUAL
aHash
|
8f0f7f0f0fff0f0f |
|
VISUAL
dHash
|
3b3ece1edbcb383a |
|
VISUAL
wHash
|
0f0f0f070f2f0f0f |
|
VISUAL
colorHash
|
06003000081 |
|
VISUAL
cropResistant
|
3b3ece1edbcb383a,0e0f27470f1d3272,b6072327070d0d49 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.