Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AA26362D2D3153F423B46C6F6E6537C70E1624ED5074528C2BE43B903EEDB6B91B88A |
|
CONTENT
ssdeep
|
384:2QmO6EKFBpmwVT2iwzb+NJRUW/Bl7APOUQ2/0Xhr:XmO6jFBpmwVT2iwzb+NJRUW/BlkPbQ2Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c126d93665ad3ec1 |
|
VISUAL
aHash
|
002c796364047c7c |
|
VISUAL
dHash
|
98c8cbc6d468d0d0 |
|
VISUAL
wHash
|
006c7933762e7c7c |
|
VISUAL
colorHash
|
3000a0000c0 |
|
VISUAL
cropResistant
|
8eaaccc4cc4cb29e,a9ad2c4eb36b41a9,98c8cbc6d468d0d0 |
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 27 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.