Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17032EE733D436915325F82CF81133A0DE1C1DACBD66A66D5A6F4C26C1AF4DA17BE3244 |
|
CONTENT
ssdeep
|
96:PT7lVSI03adTv9dNMVfoRizS6mZyIDSOJ4lG5JQ4I8OeLIhEnLshEt2xbY30ZFAB:PH03AhMfd44Outij9npYt7Kr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3338c8c9d9d8c36 |
|
VISUAL
aHash
|
ffe7e7e7e7ffffff |
|
VISUAL
dHash
|
304d4d4d4d320c00 |
|
VISUAL
wHash
|
1c040000273f3f3f |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
304d4d4d4d320c00,0018269696122800,17694933f184e869 |
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 628 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)