Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D53091225C82A1BC6C23B9AEA507FAB52F9D958C27181341D7AC1FF4B83D6D423D4DB |
|
CONTENT
ssdeep
|
768:PTIzEOfgHqsjuQz1qohs9ZEG84g2zPx6MmYtblViv4NPyoyfmZoZDochqyQLWn7K:5z459Wf47PmyjXMZHQiYyuES6Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9292926f676d71b0 |
|
VISUAL
aHash
|
2c3e5e3c20303830 |
|
VISUAL
dHash
|
c8f8dcd0cce0f0c4 |
|
VISUAL
wHash
|
4c3e7e3c30347c78 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
58b07272f2f8ba9a,a4b4b56f625c9494,c8f8dcd0cce0f0c4 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)