Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AA2333012426E7F22D7C5E16331BBA6B284F601CA17961943F953593FCBCE5CCAAB61 |
|
CONTENT
ssdeep
|
384:vL5pnpRONnpsxYYmusbuWhcOuk8l5bEuTsuzZbuWhebumXuJgNsVhzHG2bsh6djb:vdpnpRQSXsK3FLzTvzZKVKmeJgeG2bsY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd393365892e8e39 |
|
VISUAL
aHash
|
00003c3c3838003c |
|
VISUAL
dHash
|
02107070726032f0 |
|
VISUAL
wHash
|
c31c3c3c3c3c387e |
|
VISUAL
colorHash
|
38001200090 |
|
VISUAL
cropResistant
|
02107070726032f0 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)