Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE234B726332B5A883DB91DEF7392E45B2D2988DF8C74554F1C99A8D23C3C902197BB4 |
|
CONTENT
ssdeep
|
768:ap+EsZx8/G8eQ4mDaw7MSBFweMSBIqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAzT:ap+EsZ/8ezmDaw7MSBFweMSB5N2/y9dG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc5c09a98 |
|
VISUAL
aHash
|
ff81a1a18181ffff |
|
VISUAL
dHash
|
4d4d6d4d63716900 |
|
VISUAL
wHash
|
ff8081818081ffff |
|
VISUAL
colorHash
|
07230008000 |
|
VISUAL
cropResistant
|
4d4d6d4d63716900,cccc48ce3abe7060,40d2d29bafd6d2c0,edf1f151754c8802,fffff7e5dcfcbfdf |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)