Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16053FAF693E0A1F8E207C7F4F6319566706F24FDEB57864C82AC69A0A3529DECC49C44 |
|
CONTENT
ssdeep
|
768:fCa7oObcNvZC4gp7vlk2NTw2Xw2fw2WfE05RQtWj2L:5keAgXBXBfB6fQtG2L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
943697b32535ac96 |
|
VISUAL
aHash
|
263c1c003c7c7c3c |
|
VISUAL
dHash
|
c469a5f2e4d0d0f0 |
|
VISUAL
wHash
|
263c1c107e7c7e3c |
|
VISUAL
colorHash
|
38000000c00 |
|
VISUAL
cropResistant
|
c469a5f2e4d0d0f0 |
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 603 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.