Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15302C61084343D636A0F66E5E3C9565A72E9C303EB131B24C7F807D94B8ED966F76232 |
|
CONTENT
ssdeep
|
192:bd3HQcPvbDWLYcjP2NaAHPqR9gEAqUgALOep:bBzXbiINFiR97aDLNp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb545676d6676242 |
|
VISUAL
aHash
|
243c79f9fca818bd |
|
VISUAL
dHash
|
6cfad3f3f14b7a69 |
|
VISUAL
wHash
|
243c39f978a898bd |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
6cfad3f3f14b7a69,64353f090b0f2f1f,17273634128147ce |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)