Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110B1643264205E7314A3C6E69B75934FA3D3C60ACB131646BBF4DB692FCAC95CCB1684 |
|
CONTENT
ssdeep
|
48:qJ+CxJYMPQPXPkPbPSP7R08J+7trzxSpn0umVzy+c9EMLyxLugMKCi3965583ugx:DoRfu81cvSc4455pgYUyng |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9297bd3f888022ef |
|
VISUAL
aHash
|
ffffffff000000ff |
|
VISUAL
dHash
|
6a7ccccc256c0400 |
|
VISUAL
wHash
|
ff3e7e7c000000ff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
60786cd4cccc9404,0000000000000000,0275600d0d434404 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)