Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13153B7BCD2E5253B221F85D0B261278E348F900AD6879001DAEA9FD997C6CD7F43F985 |
|
CONTENT
ssdeep
|
1536:ZcFlh3vqaLy1qhsd85ffNcBpmGavW9Aj8qOaKJSfxMJ6zFu:w3xMAz4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9164316cbdc92c7 |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
9686b6b296969696 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06000000e40 |
|
VISUAL
cropResistant
|
9686b6b296969696,90989a32b2b5bc10,7676b2dbda9694b9,b286a09e8e809280,8080818181818080,0000004000000000,00006393936318c7,f4e8e951596970bc |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)