Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4224333A600DD2A8D9B56C8F5C49588511EC389FB3148CAB1B091FF7BC4DF069A979D |
|
CONTENT
ssdeep
|
192:R1LEIYcgcJmaum2hx/5McnthWeNWbK4LfMmUU8VCo48:+cgcJm1dJ4LfMmUFCop |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a626c9d9983e99c9 |
|
VISUAL
aHash
|
ffe7e787e7ffffff |
|
VISUAL
dHash
|
004d4d0d0d200c00 |
|
VISUAL
wHash
|
7f030303233f3d3c |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
004d4d0d0d200c00,def831dce8fcfc7f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.