Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFC28571A1142B3B03A3C2DDB3A1BB1B63D38189C78A151253FD836D4FE7E50AE27556 |
|
CONTENT
ssdeep
|
768:XUe4zgumWO1WLvC0Ma27sOy2+y9BH4c1Ie:WzbL60q7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3069438bc3cf5e5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc8ccc4c8c8c800 |
|
VISUAL
wHash
|
067c64302064ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
c080c80458988000,dce8cccce0c8c8c8 |
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)