Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1787363247901686630EF4ACFE273798E2284EFC6C99619D9C6F0471469F7CA1FED02D8 |
|
CONTENT
ssdeep
|
384:+WJC2zkYjcl5D/gTqgZBSwZ4a7a3pGJa7a3pG9aa7a3pGHa7a3pGr1ca7a3pGqap:jBIUf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1466d321c35671f |
|
VISUAL
aHash
|
00f0e00f07e7c3c3 |
|
VISUAL
dHash
|
44024d9c8d0d1612 |
|
VISUAL
wHash
|
a0f8e00f0fe7c3c3 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
44024d9c8d0d1612,f0f0f0f0f0f0f0f8,3faf4e5c7a727668,000040d0d0c04840,1d365637336761e1 |
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 747 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)