Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D584CA63425876658037C3C064769F36F2A76DEBFF668B008BD887B57AE5C7C680E409 |
|
CONTENT
ssdeep
|
1536:LlkQkz0gWBUgQmTa3MZo+Hd1+fW1sT7g5mPUda7AZ6k2QJT65AWM+DeJT+6GOi21:2dogWBOQP2+zkdvG/yuEBsPWiP5fQ/G5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b210ec6537973f0c |
|
VISUAL
aHash
|
00000e0e00ffffff |
|
VISUAL
dHash
|
9cb99cdcf81b1c2b |
|
VISUAL
wHash
|
00000e0e0cffffff |
|
VISUAL
colorHash
|
02002000180 |
|
VISUAL
cropResistant
|
c060f0f4d4f8eefe,8282c2c292cab2b2,a28a924c4c8ea2a2,5a589e1e8e2b2b2b,9498b09cdcdc385b,c0e02a444262e418,004897978f8b9260 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.