Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18833E932A149393F12D3D3C8E3A2B72662966145ED1786A1CAFA076C23D5DD0ED3379C |
|
CONTENT
ssdeep
|
768:ySuII0MckzKvt4pE0zVdPfbhEIqFpMdc/jbi48y:zuII0MTw497hQkgbi8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
958d6e747693e068 |
|
VISUAL
aHash
|
001b7f3f1f5f0000 |
|
VISUAL
dHash
|
f2f2f2e8bab67a2e |
|
VISUAL
wHash
|
021f7f7f1f5f0800 |
|
VISUAL
colorHash
|
30200038000 |
|
VISUAL
cropResistant
|
dcdadad2daded25e,f2f2f2e8bab67a2e |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)