Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4F3B2F1439531EE421BAFD4E6223BAB766B747EEBD38A4043B847E06B97C59D804C50 |
|
CONTENT
ssdeep
|
1536:0XfbX0KElQLfUU5eoitYNSoDJH2lQLfUUQlQLfUUzJ4CFf5lOc+yFm+9fBidh5mr:QEIcoitm/2IQIpF3mO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9817474719d1c7c7 |
|
VISUAL
aHash
|
2c00f7cf8fbfff9f |
|
VISUAL
dHash
|
cc340c9939622232 |
|
VISUAL
wHash
|
2400b7cf8d9bba9a |
|
VISUAL
colorHash
|
07000c00048 |
|
VISUAL
cropResistant
|
cc340c9939622232 |
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 1087 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 9 other scans for this domain