Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BB3A2B3E35D313B1E278DD1D1243796B9C2615ECB0B6496B2BDC35843FAE92A402B47 |
|
CONTENT
ssdeep
|
3072:KdnOxiqjuYkQbkjSPx3ndQa4eXGR5ZuZuZAZxZev:KdnOxiqybQbkjSPx3ndQaRXGRzQQCL2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9641e97ab105e9f2 |
|
VISUAL
aHash
|
0000200e060030ff |
|
VISUAL
dHash
|
8ce0c4cccc64671a |
|
VISUAL
wHash
|
0030743e0e30ffff |
|
VISUAL
colorHash
|
31000030000 |
|
VISUAL
cropResistant
|
33400148344e7030,787ad86a6936396f,05a251653d1b8411,0026273338120000,9ce2e4cccccce064 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.