Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E953A03146849627A19B84D4BA338B8F23F2D206CF03148FA6BD62D49BDEDD2DD7905D |
|
CONTENT
ssdeep
|
1536:P3nhh/GIOTImCjaPnGVSNRnBjBO6ceUKLuMwWNwVCKkVsj9QIox0bHOjAL2f7vWX:IxXo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f33364ce9c989899 |
|
VISUAL
aHash
|
c3e7cfffe7fffbc3 |
|
VISUAL
dHash
|
0a4d1a594d68622e |
|
VISUAL
wHash
|
c3a68abef7b28282 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
0a4d1a594d68622e |
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.