Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14773833823083E2DA55786E8F7B0B779522DD294E66BD5ACE2BC117217C3C88E8375D4 |
|
CONTENT
ssdeep
|
1536:5ggggaNEAssssYssss+ssssJssssgssssMssssKKfov5:ou4gv5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edb292ec69990ec2 |
|
VISUAL
aHash
|
fffffb8b9191ff00 |
|
VISUAL
dHash
|
2b8c32323333f332 |
|
VISUAL
wHash
|
fdf9fb8981111f00 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
2b8c323232337312,0e46c3d3633937bc,a829481932341809,6a6a2a6a56010000 |
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 12 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.