Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1875585E16620A3ADD4C7DAADDF39DD90530F40BAB9B6C6C18ABEC75C9447D80FB06814 |
|
CONTENT
ssdeep
|
3072:Lxipi9Q3nGEFRmmilsu9v5e3FmDxAConwTWSLdTwudLsiwDbmTbp0l4fN1s6Y84h:LGJ3Yj3xFCz+qJ9L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb9b646631cc99ca |
|
VISUAL
aHash
|
00003c3c3c3c3800 |
|
VISUAL
dHash
|
4d2971717971638f |
|
VISUAL
wHash
|
0018bdbdfdbdb900 |
|
VISUAL
colorHash
|
0e001038000 |
|
VISUAL
cropResistant
|
7adaacc38e595588,4d2971717971638f,3434b5d4d4353434 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)