Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2A16234B0605AF782C3C7FABA59AF2530CAD397CA17469462F5CB9D1B63E408D13172 |
|
CONTENT
ssdeep
|
48:TIxVwGfgoTUs0r5QoIMFcHN8CO1PcNco+pxb+8X/h3kB/ZySh9qxbRzp8xVudVlT:TWVx3TUd1Qf+dcNobxX53K8vqW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131cecec493cccc |
|
VISUAL
aHash
|
cfc7c7c7e7ffffff |
|
VISUAL
dHash
|
9a9e9e9e16001400 |
|
VISUAL
wHash
|
c3c3c3c3c0c0fcfc |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
9a9e9e9e16001400,9790929090909491 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.