Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AC3ABB1C66A223B42274DD470712B4FB6E3C35DDE97460167FC87895FEBC90EA0458A |
|
CONTENT
ssdeep
|
1536:xWfA8aV1de/AYyPHS5BvznG7cqaV4kpZOV1qdHIWlweIr0qXmvaiCmzGgySvOV1G:u53+cck |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c4339bb648b694 |
|
VISUAL
aHash
|
fff9f1f1d7f9d1e3 |
|
VISUAL
dHash
|
2d0303232c23130e |
|
VISUAL
wHash
|
b7f1f1f18191c183 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
2d0303232c23130e |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.