Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5622B79E61813718F4343D6BE2163EAF22750ADAF0256DCE7248358B3959FDC9309C6 |
|
CONTENT
ssdeep
|
192:QoyoB6CJ54t94tLe6ntTL46eHTmdWWFmku9cuGRmKbMpBXp7sfgg8gk:QJoCoe03QmdpZsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f5aa552a55aad528 |
|
VISUAL
aHash
|
c3a5e7e781e7c3fe |
|
VISUAL
dHash
|
174d0e8c0f0d0f0e |
|
VISUAL
wHash
|
c300c3e781e7e3e6 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
174d0e8c0f0d0f0e |
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 490 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.