Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12233F0305118AC3F617786D8E236736F31F7C24ACE4B131447B993799BC6DAAED22198 |
|
CONTENT
ssdeep
|
1536:YTXIILdsuldIIIIIhEH+OWa4CWywRxdIIIIISkZwWNqoBy2Dg/ztIIIIIsJW62cp:YTBd7l+C+Da4CWywRxJO1NqoBy2YzdRp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec899b6c64999b64 |
|
VISUAL
aHash
|
fbffdf83d3d39fff |
|
VISUAL
dHash
|
2b44393626263154 |
|
VISUAL
wHash
|
b9ff908080809fff |
|
VISUAL
colorHash
|
07006000080 |
|
VISUAL
cropResistant
|
2b44393626263154,071f27a74f7e4e5f |
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.