Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124B162D1C41CDE3A431189D9FBE96B5BA9D2C319CB01188493FC42BB97DFC60C626B99 |
|
CONTENT
ssdeep
|
96:Tkxi5OzhxPMSTfjNewvFzxieSzYXUdHF60elXHX/wUJ:Qxi5Oz3PFvNJFOEjJXT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed84b2cbc69a98c5 |
|
VISUAL
aHash
|
ffc3c3d3d38181c3 |
|
VISUAL
dHash
|
8c96961726331796 |
|
VISUAL
wHash
|
ffc3c3c3c38181c3 |
|
VISUAL
colorHash
|
07201400001 |
|
VISUAL
cropResistant
|
8c96961726331796,8c9c9ad2d24c2c8c,2b37b2b28231b20e,13f011174d2b3307 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.