Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CD26434A1546A6F0FB3C6E26356237FB1E882CFF4329591B6F0C6B90796F1189B7502 |
|
CONTENT
ssdeep
|
384:KogjKdHh+lfYbk2Cy+g+ovWP7q4Yjld8sE03pX7OvnsT9Ck1v69GGlrF:Kog+Qff2Qovy7gph67xcerF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d96969668682c |
|
VISUAL
aHash
|
bfb9d1919fffffff |
|
VISUAL
dHash
|
6c33333376089606 |
|
VISUAL
wHash
|
bfb0808080ffc3f7 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
6c33333376089606,49f1f072704c2a7e |
Fake Binance 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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.