Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A023A575A0D2293F02278AF9F120A75AB1F7C35ECB778C48A3F9EBC457C1D51856218A |
|
CONTENT
ssdeep
|
768:EY0EtK8k0MmQ6SbFkdfQQQQ1QQQQCQQQQaafxx4fDD:E8tLk0MmQ64Fa7G+D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c16226c13e1f9d3e |
|
VISUAL
aHash
|
70620c00787e7800 |
|
VISUAL
dHash
|
c4c49c98d2f0f22d |
|
VISUAL
wHash
|
72767e58787e7800 |
|
VISUAL
colorHash
|
38002008048 |
|
VISUAL
cropResistant
|
ffffd79f9fffffff,ffffa7bfbfdfffff,c4c49c98d2f0f22d |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)