Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AF2A334C1A4B97B02A383D81AB3D3E6B5C7418ED2624358E2F4CB357641EF9DC91AB5 |
|
CONTENT
ssdeep
|
384:hayOGOq/+i192mvxTkWV1YrtuRgK47/38cLz4S9uZ8vp3sHwADYY7rnr8Kuro1CC:h5atfIYr3c30yj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dccb023e7db60992 |
|
VISUAL
aHash
|
fdfcfefc98000400 |
|
VISUAL
dHash
|
e1e0c0113131d4d4 |
|
VISUAL
wHash
|
fffffefc90000400 |
|
VISUAL
colorHash
|
33000080006 |
|
VISUAL
cropResistant
|
e1e0c0113131d4d4 |
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 132253 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
Found 1 other scan for this domain