Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12702A712D2883B1C239B4268E635CADEB70442D5C3290FD8A775937FBC982E5857B6CD |
|
CONTENT
ssdeep
|
192:Cx7NbH9fnZ2lbIBROVVZUBBA8u0/5+eJy51Ycfwvz3o9VR0UQWH:CxRHxZ2lEBRK930UQu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcc3c32c3cd265c3 |
|
VISUAL
aHash
|
ffffff818181ffff |
|
VISUAL
dHash
|
130f0f2f2f2f3b3f |
|
VISUAL
wHash
|
c3ffc7818181cf83 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
130f0f2f2f2f3b3f,ffcfdff6cfdfcfff |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.