Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D62F973506849BA066774DCBF75A759A3B382C4A8F3DA2382E34B1D1FD4F554C57201 |
|
CONTENT
ssdeep
|
192:iCvl+eCMnCzB/TuCQ0To6V+AKX9I3ukYRXA1JeQb0WIyosApJYkCkLL2UUdtVG:9+9/oQo69+Z93aNqtLkPG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd9931c76434e633 |
|
VISUAL
aHash
|
2e3c18183c3c2020 |
|
VISUAL
dHash
|
d47170b0616968c4 |
|
VISUAL
wHash
|
7e3c3c383c3c3c70 |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
d47170b0616968c4 |
Fake Netflix site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.
Malicious code is obfuscated using 34 techniques to evade detection by security scanners and make reverse engineering more difficult.