Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E973C66BD349237111C302527B9799D5F726806C33B6EB1A2CA5C15C13D9F2D833B7AA |
|
CONTENT
ssdeep
|
1536:OOlM/5I2li2C9l+2pM/UXpo1XjmLMjx57kNx1:nKuy6a1XjSMjT7kNx1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cccc33cccc3398 |
|
VISUAL
aHash
|
f7e7e7ffe7e7e7ff |
|
VISUAL
dHash
|
080c0c004d4d4d20 |
|
VISUAL
wHash
|
272727030707e700 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
080c0c004d4d4d20,68d0d4ebf2e870f0 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)