Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129C2E9716150273F059BC3C9BBA1F72E92E38148DB55080653FC876E4BE7E64DE2362A |
|
CONTENT
ssdeep
|
768:US5y5NBjlPxPZBazuEc7sOy2+y9BH4cLIe:ylJTf7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a9c3c8cc6 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8cc8c0c8c9e71e00 |
|
VISUAL
wHash
|
40e478202433ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,9cc8c8e0c8cde70e |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.