Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D235B726332B47843DB92EEE7382946B2D2989DF9C74554F1C99ACD13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:ah+EsZx8/G8Gl4JDawMMIBewGMIBWwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:ah+EsZ/8GuJDawMMIBewGMIBWwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fd0580f0d78678b9 |
|
VISUAL
aHash
|
7e00000080c0ffff |
|
VISUAL
dHash
|
c8d6772802030008 |
|
VISUAL
wHash
|
ff000080c0f8ffff |
|
VISUAL
colorHash
|
0a000000e00 |
|
VISUAL
cropResistant
|
00000c0c0c0a00ca,8280c8d0d0c88082,2028130325002000,c0ca577460281203 |
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)