Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DBB37371614398374663D2D0E2762B2D62C5E34DCB120D26F7FD876AAFDAD60FC2A190 |
|
CONTENT
ssdeep
|
1536:0SNB44xJel/Q5vYFgMnwuYF+ByzTf7fB8cCmLVpfDIZNFPzNBaOqQZIQrwBl/Q5P:zJZNMuJsJs8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eaf99583d5287813 |
|
VISUAL
aHash
|
fff1c1c181a1e7fe |
|
VISUAL
dHash
|
d88307a7252dcf0c |
|
VISUAL
wHash
|
ffe1c1c10101a7fe |
|
VISUAL
colorHash
|
061c0000000 |
|
VISUAL
cropResistant
|
d88307a7252dcf0c,a61d6c39b5b4e6ce,c2da3e2abb3cba9a,a9a4a8b2f4ecd8dd |
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 119 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.