Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3843AF953B892F4E6464BE8ED711815332920FFBF908B8883559AE0F5725CEE46EC50 |
|
CONTENT
ssdeep
|
3072:RCkpRrc6bTxQaThxHgDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAk5:IDw/47g7/tj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf5c30a1a3c6cf38 |
|
VISUAL
aHash
|
0000383cbd3c2000 |
|
VISUAL
dHash
|
0c30616969694c90 |
|
VISUAL
wHash
|
00003c3cffffff00 |
|
VISUAL
colorHash
|
0f400000c00 |
|
VISUAL
cropResistant
|
c280a4a4a4a480a4,f0f033133337f2f0,9496b2969496aaaa,f0606d6d6d71f072,f0f2b2d39ab2f0f2,f0f071717170f0f0,0c30616969694c90 |
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 818 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.