Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164932130A165963B409F72E3E07A4B1963E3D30EDB534BE6A3EC83694FCDD64A903159 |
|
CONTENT
ssdeep
|
384:FxUHizg1Oz1HJTZkZPPB66azTKETCUBILx6EAzT01TN1pCRuLk9lHxzhNfguNvU4:cHim66KDhawzSXi8R07lTQ6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8414b530ef4be8eb |
|
VISUAL
aHash
|
020200000000ffff |
|
VISUAL
dHash
|
dcfcc4e7cbb7cb43 |
|
VISUAL
wHash
|
06063230015fffff |
|
VISUAL
colorHash
|
300810000c0 |
|
VISUAL
cropResistant
|
cbcbf3d009000002,dcfcccc6e7cfb7b7 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.