Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A42C633D500A6250BE7824CFAD1F7DDE326C189E23459C962E4421F2AD4BF5C673BA9 |
|
CONTENT
ssdeep
|
192:sYJZkuuc94i91iOXzfgRzaKvQ2vXMuKCZw5IKr5fMmUU8VCoXq:s2Zkuucn9cCMacPv8uK0KdfMmUFCo6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b663326736633626 |
|
VISUAL
aHash
|
e7e7e7ffc3ffe7c7 |
|
VISUAL
dHash
|
4d0e0e080e060e3e |
|
VISUAL
wHash
|
e7c3c3ff81838382 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
4d0e0e080e060e3e,09b20b493daa8855 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.