Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8F3876302146A2E4437C3D075759B76D1BADA8FFAA70A404FDCC3B66AEEC50B81B51C |
|
CONTENT
ssdeep
|
1536:OwA4a1UgQmTa3MZo+Hd1+GM0r1jjC3le0SrcJLxZrw/lk2RdCb1:g4a1OQhzo3bSYJc2v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c41be6bb2f83922c |
|
VISUAL
aHash
|
fddc1c3811bff7f3 |
|
VISUAL
dHash
|
49b4bcf0636a2527 |
|
VISUAL
wHash
|
fd1c0c0c0197f3f3 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
49b4bcf0636a2527,0004416961601448,000002d8c8c0c400 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.