Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19823EA3108C47B3B51C362D99319AB4FE391818CEA76C69AE1DA832F13C9D58CD37B59 |
|
CONTENT
ssdeep
|
768:5LsjjstAb2zE4Q8VSV47GKkIQjnykO/VfmIHccsr+Zd6M4VU1+S9On:5Lyjs2b2zjQ8V84yK+bO/Zm/3KwU1+S4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebcacbda8896 |
|
VISUAL
aHash
|
fd0006060604ffff |
|
VISUAL
dHash
|
71ccccccecec3903 |
|
VISUAL
wHash
|
ff0606060600ffff |
|
VISUAL
colorHash
|
130000001c0 |
|
VISUAL
cropResistant
|
000189616189014a,96d6e8b284710f8e,c030300f2c531313,ccccecccecececec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.