Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F1200707002386712378AD1F8B29F192157E335CA46196CF7B41772BFC9CE989B26B8 |
|
CONTENT
ssdeep
|
192:WeUXDbfgSug19zQnDTdaZfCvErEFh/LaRqLaRyLaRNLaRsLaR0McfYNqyTzhBeCb:+XMg19UDZ8cFh/LaRqLaRyLaRNLaRsLQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4c63e99b13b0fc4 |
|
VISUAL
aHash
|
00f0f0ffff000000 |
|
VISUAL
dHash
|
1da4e4dcaa70c100 |
|
VISUAL
wHash
|
00fff0ffff106080 |
|
VISUAL
colorHash
|
30000e00000 |
|
VISUAL
cropResistant
|
0000000c0c000000,0000080808080000,0000080808081000,1da4e4dcaa70c100 |
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 80 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)