Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D52FD30E98991EE017FC4D0AE65FB1D2FD2F34ECD1A444319AA8DA10FC7CB9B40A068 |
|
CONTENT
ssdeep
|
192:Kluap6a7h3Nd9lEp9KYwfKhuzu7VXkdlGKiYRSJUm0u224Y:KlLr71NzeltP5XkLwi5m0D24Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83077c7c077c7c07 |
|
VISUAL
aHash
|
007f3f3f3fffffff |
|
VISUAL
dHash
|
40c0c0d0d0c00000 |
|
VISUAL
wHash
|
003f0f0f3030f0f0 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
c0c0d0d0d0000000,0000208048484000 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)