Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175234C726332B87843DBA2EEF7382946B2D6589DE8C74554F1C956CD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aW+EsZx8/G8H27DVSCMDBmS0MDBUUcix+y9dQpUDF1E56ITmHTCd3m6DPqDv7A1+:aW+EsZ/8HwDVSCMDBmS0MDBUUXx+y9db |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb956ac691c5c495 |
|
VISUAL
aHash
|
f1818f8f8f818181 |
|
VISUAL
dHash
|
03595b5b59494d09 |
|
VISUAL
wHash
|
ff818f8f8fa18181 |
|
VISUAL
colorHash
|
33c00600000 |
|
VISUAL
cropResistant
|
03595b5b59494d09,fef9f1a1b1a2e4e1,343038383cbc9c99,219a9a9adac81aa8 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)