Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA621CB9B2182560890343EBBF6226F9F203817DDB6157ECD768C2087295DFC4D66EC6 |
|
CONTENT
ssdeep
|
192:QoyoB6CJ54t94luv/eQXBX+leATJwqr/rfslNxtku9cuGRmKbMpBXp7sfgg8gk:QFoCSuXeQXlg9TR/mNxysmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
972a552a552a55eb |
|
VISUAL
aHash
|
007fff3f9f3f3f1e |
|
VISUAL
dHash
|
c983c6652f61717e |
|
VISUAL
wHash
|
007f2b1f033f1f16 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
c983c6652f61717e |
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.