Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1840225A281032526560B6AB2712E0B4779FF4F80F6871B76F6BC631D57C9CA15B0337A |
|
CONTENT
ssdeep
|
192:7Q2LxGLVuEmS9VTpdi43X0L773dbrS8a7t6cC3TIWzBtMNkCuEy2ECSlTv2+dHqy:7Q2Lx6VdmS9VTpdi43X0L773dbrS8a7U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3666699cccc9926 |
|
VISUAL
aHash
|
e7e7e7ffe7efe7e7 |
|
VISUAL
dHash
|
0c4d4d0e0c1c4d4d |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07001010400 |
|
VISUAL
cropResistant
|
0c4d4d0e0c1c4d4d,519669697026c861 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.