Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110D2983271147F37429381DBB6A1572A62E3434FEA860512E3FD83AD0BE3D15DE2761A |
|
CONTENT
ssdeep
|
768:ne1YjOs/c6fUks5JMkGgVj7sOy2+y9BH4c1Ie:6cfQ5JkgVj7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b430bd3ccdc5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d4ccc4c8c88c8c00 |
|
VISUAL
wHash
|
027c7c306004ffff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccc4c0c8c88c8c |
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)