Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FB26130E2487A3F41A393E9F7564775B2E98149CF450A1AE2FC93A953D7C83EE63058 |
|
CONTENT
ssdeep
|
384:x2ZrcIBPdlIH1cFIxfXe1Tre38eQyexle6GT9BUBVBTlBaQAp:x2ZrcIcdfj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7b4193cc6e53196 |
|
VISUAL
aHash
|
660164747600207c |
|
VISUAL
dHash
|
943bcdcccc1cc0c8 |
|
VISUAL
wHash
|
ff01f6f4f600207c |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
943bcdcccc1cc0c8 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)