Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1B1C46FD36C13360B2140D07A0F62CDD71644AC83B28BA158ACC89D77BFB7149BA4D6 |
|
CONTENT
ssdeep
|
96:1GGK5MuPXpXXd/4XDRRXptXPXLXxwEKpO1mPK9cezOqYMALNc0OuibvME+yXJ:U3PNNAv5tfbb9zOqYM0N2UvSJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ed1906ed07b4ed1 |
|
VISUAL
aHash
|
ffff7fffb50000ff |
|
VISUAL
dHash
|
797951aa656565b0 |
|
VISUAL
wHash
|
fd8f3dff0000007f |
|
VISUAL
colorHash
|
06000008600 |
|
VISUAL
cropResistant
|
797951aa656565b0,042e9b8e4e8aae54,9abeafdbdacbba38,2797b9adbdbdf736 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)