Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FF2B531A1146A3F1297C3C9B362F72EA2E39289DA4A090183FEC35D4FD7E91ED23515 |
|
CONTENT
ssdeep
|
768:sLy5N1hmZn3mQqqhW6rp+i8IIIIIIIIIwYJ7+IIMlhuwIMa4TIIm6JKwF7sOy2+o:Zmn3mnqh8i8IIIIIIIIIwYJ7+IIMl1LX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367f818bc6986cc |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
4c49c3c3d0e8d200 |
|
VISUAL
wHash
|
00e77100303cffff |
|
VISUAL
colorHash
|
31e00008000 |
|
VISUAL
cropResistant
|
5080802058d08000,c449cbcbd3c0ecc2 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.