Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EA374718062F6AF0267E2D8B574AB1F73E1C246CF930A5346E9932DAACEFD1D907045 |
|
CONTENT
ssdeep
|
1536:Y0Rm149cG4+pIdm4iGjFowKLlkm0Nm7BaZfcW7rkbZg:YMmHmD8mgm7BaZNp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa7341637a796160 |
|
VISUAL
aHash
|
c0ffff80c0fffbff |
|
VISUAL
dHash
|
080000252d0e2a2a |
|
VISUAL
wHash
|
00ffff8080c3c3db |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
080000252d0e2a2a,0048959095140810 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)