Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9C2A771A050673F439383C9BBA1B76E93E38249DE86090653FC879D1BE7F50C91366A |
|
CONTENT
ssdeep
|
768:ZS5y5NmBcnWgGglFVnRT3XOeBL7sOy2+y9BH4c1Ie:11Ao7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a9c2ccc96 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8cc8c0c8c9c70e00 |
|
VISUAL
wHash
|
00e478302417ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,9cc8c8c0c8cde70e |
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.
Pages with identical visual appearance (based on perceptual hash)