Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0F22D77D2096233208340D1AB6B53BAF361817C9B5B0B049CB8E17837DAD599B7B7D8 |
|
CONTENT
ssdeep
|
768:gLqLX7XrPBBTXa4XOuX2VXlX3X1iVyrVpb0iVHiz2vUwXNAzwUWAyWwR2vYt4L:gLqLX7XrPBBTXa4XOuX2VXlX3X1XVc2g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b43434746464cfcf |
|
VISUAL
aHash
|
c3c3ffffffffffff |
|
VISUAL
dHash
|
968e690c00000000 |
|
VISUAL
wHash
|
c0c0fcfcf0f0f0f0 |
|
VISUAL
colorHash
|
07203000000 |
|
VISUAL
cropResistant
|
968e690c00000000,cc6c75f3ba11e96a |
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 374 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)