Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1F11122A44CEC3B23235BC1B592B705E2D6C66EC6431A14D6BC439E0FEBED2E542657 |
|
CONTENT
ssdeep
|
192:YuHv6JokYM5JAMv5C5CWE8C1dYAKe8pTjKkrAyjg1rAMj3rrALdv:Ysv6JokdAqeplbAKe8pTjKkrAyjg1rAb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cce666cccc763232 |
|
VISUAL
aHash
|
ff38001818181800 |
|
VISUAL
dHash
|
727200b2b2b2b200 |
|
VISUAL
wHash
|
ffff001818181800 |
|
VISUAL
colorHash
|
3a007000080 |
|
VISUAL
cropResistant
|
6060c080332358d8,727200b2b2b2b200 |
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 104 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)