Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1602319359CC4232706A313C177C3A647A294C181B616CA9BD6FE834E52CEF95D63EF29 |
|
CONTENT
ssdeep
|
768:r44jU1SdqfZuJ6nDkzQPDi97CaxlOBlyJoqt/T1gIB7RfexOZFnHFh5gw1esU2wb:r44Xq3kKqOcZ1zf2St6w1RpY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93b36c6c3490f396 |
|
VISUAL
aHash
|
060c6c0e0c003c3c |
|
VISUAL
dHash
|
c4d8d8d83c58f0e0 |
|
VISUAL
wHash
|
067e6e0e0e0c7c7e |
|
VISUAL
colorHash
|
39000210010 |
|
VISUAL
cropResistant
|
e792f2e1d278cf96,274ed89cb8ac2c9c,c4d8d8d83c58f0e0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.