Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB0254335004C82A4EEB859CF7C0F588519AC24AFF328886F2E4A16F6BD8DF4596137C |
|
CONTENT
ssdeep
|
96:Vrvr0CPaR1sYvEGwkUCb7g7lnyC7TazhlnHCSCszCfMmORR1E8VConknG83XL96l:VrvrkdcGwkBbc7IJNnOfMmUU8VCoCy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666999964669999 |
|
VISUAL
aHash
|
f7e7e3e3fff7fffe |
|
VISUAL
dHash
|
0c0c0c0e120c0000 |
|
VISUAL
wHash
|
fce4e0e0c0e0f0f0 |
|
VISUAL
colorHash
|
07000010180 |
|
VISUAL
cropResistant
|
0c0c0c0e120c0000 |
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)