Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112A34DB43608B52B5EF383A750DE25037279121BD40E4C70B254ED9EA6E9C4EE077BE9 |
|
CONTENT
ssdeep
|
1536:rZLqKK15l4DFQLwI8/CLqnZbU1RSs02ObI/i3UwLVCcuGOjjRn3:66Qlod2OMdW5uGOt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93456cd5aa9393e4 |
|
VISUAL
aHash
|
00002c0c0c0c0c01 |
|
VISUAL
dHash
|
963dd9d9d9d9d967 |
|
VISUAL
wHash
|
ff007c7c7c2d0d03 |
|
VISUAL
colorHash
|
01001e00000 |
|
VISUAL
cropResistant
|
9696b2bab223a2b2,1a1a2ae5b12ccd89,5674c84d0cc94d8d,963dd9d9d9d9d967 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.