Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3235B726332B8B843DB91DDF7383A45B2D2989DE9C74594B1C95ACD13C3C806197BB4 |
|
CONTENT
ssdeep
|
768:aE+EsZx8/G8fv40DawoMIBywCIMIBMUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvM:aE+EsZ/8fw0DawoMIBywHMIBMUXx+y93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee94719195c4b4cd |
|
VISUAL
aHash
|
818181b1b9818181 |
|
VISUAL
dHash
|
0769656571415141 |
|
VISUAL
wHash
|
ff8191ffb9818181 |
|
VISUAL
colorHash
|
1b006000000 |
|
VISUAL
cropResistant
|
0769656571415141,026de4e2f2c29181 |
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)