Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB426237E0442937069B97DEBB75B32F72A781CED6634E0036F8434D8BD6E89C865252 |
|
CONTENT
ssdeep
|
192:qAbhb9dCb7uJWm12uNQZjlO6M1Fj3WKPmXVrmpRa3fXtjx571tS4UpIgQd5k16g5:7bx9Ub7uJWm120mjlzmFjmKulrm3a3fm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d11d791532f23672 |
|
VISUAL
aHash
|
0000fcfefefefee0 |
|
VISUAL
dHash
|
b03030c0d0c49080 |
|
VISUAL
wHash
|
0000f8fefefef840 |
|
VISUAL
colorHash
|
00007400000 |
|
VISUAL
cropResistant
|
28282ba393222a22,00000a0000000000,4032c6d8da924882,80103286e6c40000,5555051555055515,ac12323469615082,8cb0b290b2f0cc82,b03030c0d0c49080 |
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 65 techniques to evade detection by security scanners and make reverse engineering more difficult.