Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185D1BE312595BAB31283F2D1EB772FA6B3C54242C6521615E1F8C34BAFD9D87C923227 |
|
CONTENT
ssdeep
|
192:XY1DSQC0BqCftNd1niaftR8S7ftAKP34ftpB1v3vne9sQU:XY60jC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0c63f38384fe1f1 |
|
VISUAL
aHash
|
0066767e4e400068 |
|
VISUAL
dHash
|
94ccccc89c826090 |
|
VISUAL
wHash
|
407e7e7e6e48007e |
|
VISUAL
colorHash
|
38001200210 |
|
VISUAL
cropResistant
|
94ccccc89c826090 |
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)