Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D235A726732B87843DB92DDF7382E46B2D2589DE8C74554F1C95A8E23C3C816293BB4 |
|
CONTENT
ssdeep
|
768:ah+EsZx8/G8SM4fDawOMJBpow3MJBpkwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:ah+EsZ/8SXfDawOMJBew3MJBWwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fad0eccdd19284e4 |
|
VISUAL
aHash
|
ff81858d81818181 |
|
VISUAL
dHash
|
23414d49494d0109 |
|
VISUAL
wHash
|
ff81e7ad81e98181 |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
23414d49494d0109,3fdede8e64c6d0e0,23828c88c8ca20a8 |
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)