Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACD2A92025112A3F621387C4E126BF6E63D72389D5049D8DA0FCC6E63F96DA4DC5BBA4 |
|
CONTENT
ssdeep
|
768:wnoTGxMEWhLSuqSUS8HiVbeJ+sQFxid4WUHC:/8HiFdW9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6a9ad5250a58b56 |
|
VISUAL
aHash
|
ffffe7c3e4fce603 |
|
VISUAL
dHash
|
090e0e0e0c0c044f |
|
VISUAL
wHash
|
efc3e7c3c0e4e401 |
|
VISUAL
colorHash
|
07006000080 |
|
VISUAL
cropResistant
|
090e0e0e0c0c044f |
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 24 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