Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B7283A1214E647F0153E1DAEE097B0A76FB11FDEE56131202FC9BAE29F3D20DA39105 |
|
CONTENT
ssdeep
|
192:8Umb1XqEheUpAUjmKXw7CTdhBU1j+Rw6Y8WqP7uOb9yWQb1VaXsKMMwNVwSi0tUv:WXqEf1mSY+Rw6tl1Yzav |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0f43f3db16a86c4 |
|
VISUAL
aHash
|
064476646602007e |
|
VISUAL
dHash
|
968ce49c9eeec1c8 |
|
VISUAL
wHash
|
464e7e7e6e60007e |
|
VISUAL
colorHash
|
38600010000 |
|
VISUAL
cropResistant
|
6a6bf5787855dca8,968ce49c9eeec1c8 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.