Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144431C70D1117177072786C8B1309B8F66E3971ECE039892F3FE97996BCADB1D802896 |
|
CONTENT
ssdeep
|
768:5zXKR3sR3c7lD0k7DiN8eX59Ihp2Qp2lyQ63ZFsfcbd+Qmxp/9DpcC2Jwp:9aR8Rs7lD0k7DiN8eX59IzT9MzB2Jwp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c753b5be0c4483f |
|
VISUAL
aHash
|
000018ffff180000 |
|
VISUAL
dHash
|
31ccb29696f07cb7 |
|
VISUAL
wHash
|
00021affffff0701 |
|
VISUAL
colorHash
|
31000030000 |
|
VISUAL
cropResistant
|
31ccb29696f07cb7 |
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 6794 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.