Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8C27571A0142B3B02B7C3C9B3E1B71E62E3824DC649191653FD876E4BE7E40AE67166 |
|
CONTENT
ssdeep
|
768:0+e7ro/kM1hPiK6Z7YVaT7sOy2+y9BH4c1Ie:wo/O7YE7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3069438bc3ce5e7 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9cce0c8c8c800 |
|
VISUAL
wHash
|
067c74300064ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
8c00980258988000,dcc9ccccc0c8c8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)