Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181D392D55618038CA147CA7DEF2FFE05131FB1AABA5586802A4EC268D6CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:Rf0RQ7Hc7SzYFahwlinYW+vzlFsR8MLqczrFsR8MLqcMl0:p0RQ7HaNaLEM+b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83bc3c3c7363434 |
|
VISUAL
aHash
|
ffd987879fcfdfdf |
|
VISUAL
dHash
|
6b333d3f331f3736 |
|
VISUAL
wHash
|
bf818787c38383d3 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
6b333d3f331f3736 |
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 150 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)