Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11823C6797304277712C342B3F7127BEAF268C22DE51396A0B5F8C25827E9E558E27385 |
|
CONTENT
ssdeep
|
768:EuSAhuU636EJEyNnJzdYoDeIaNMroNWu53RHl+Hva:5pUUPSjYoDS2ogu5tGS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34bbc38ce43c38e |
|
VISUAL
aHash
|
ff002020000000ff |
|
VISUAL
dHash
|
6316c9cdcdd820cc |
|
VISUAL
wHash
|
ff037474746000ff |
|
VISUAL
colorHash
|
31000000602 |
|
VISUAL
cropResistant
|
4001696363690320,000000000004200e,ed92c9cdeddcd220 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)