Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132234A726332B86843DBA2EEF7382A45B2D2549DF8C74554F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:as+EsZx8/G8ga45DawmMJBsowHMJBskwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:as+EsZ/8gd5DawmMJBtwHMJBDwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef91b0c4c79398e4 |
|
VISUAL
aHash
|
a18189a9b1998181 |
|
VISUAL
dHash
|
4f61316971314d71 |
|
VISUAL
wHash
|
ff9199b9b1998181 |
|
VISUAL
colorHash
|
3a0030000c0 |
|
VISUAL
cropResistant
|
4f61316971314d71,3860c2bcf87004c4,a2926272724282a2,4b7030c8f1708430 |
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)