Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DC2963261006A3B429782C9B361A32EE7A3538EE75A091552FD83BD4BF3D94DF33516 |
|
CONTENT
ssdeep
|
384:sSby5NgNqIJYKsHfM+8jiaPGsYaQVrqZCmIYsOy2+y9BH4ciUIe:sSby5NgNkxrsNQM7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926cfc12ed3c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8ccccce8c9cc3c00 |
|
VISUAL
wHash
|
00fe6400206effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d9e9e714596,1080800458988000,9cccc4c8e8c9cc3c |
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)