Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1903362B3D24265374727C2E075A0AB4F32E3830ADB961B01D3F54B7EABCADD2D905259 |
|
CONTENT
ssdeep
|
384:E1fpFnVxzHku9GfmGJlxJszsSaKLCu9N8weKIhoNzr4dFGwMaJ69ZsTNUanICieL:mzHkug1FYscdzjqnji2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bec061c11a94bf9e |
|
VISUAL
aHash
|
ffe19f9d9d9fff81 |
|
VISUAL
dHash
|
34cd2b3931267d2f |
|
VISUAL
wHash
|
97008f9d9d879f81 |
|
VISUAL
colorHash
|
060c0002000 |
|
VISUAL
cropResistant
|
6040682b31b50524,8d29393126372f2f,143155d4d4d43155,23339265a69a2a96,bfaaaa54adaaaa60 |
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.