Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CC151B422D569FB12D7A1F1B751FF9AF2A4C209C16BC604E3F5D2562BC1C85ED81320 |
|
CONTENT
ssdeep
|
96:X842Psw00dhDZrEM13J4ycIk1P0gCG7YZe/ujmXz3Xh:X84yP1p1Zazy/mj3Xh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eded1212b446e696 |
|
VISUAL
aHash
|
ffd9f1f3ff0000c3 |
|
VISUAL
dHash
|
333323232cc8d896 |
|
VISUAL
wHash
|
ffc1f1f1ff000003 |
|
VISUAL
colorHash
|
072000001c0 |
|
VISUAL
cropResistant
|
333323232cc8d896,080da4e260a93644 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)