Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A82AA21B40154A222B3DDC2E961BE1EB3DBF34FD986C1C46AE841950FD3CB5F85A2B4 |
|
CONTENT
ssdeep
|
192:6LmRo+rB0uBGlXYYs/7g1Mn9XjDJVsJQsJLsJ7sJ7sJzsJDhsJCHar3e:mYBn7g1Mn9/bs2slsZsVsVsdhsE6rO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0c0613f3e3d31b7 |
|
VISUAL
aHash
|
747c7c7c3c040000 |
|
VISUAL
dHash
|
c4c1c0e0e0d4c486 |
|
VISUAL
wHash
|
767c7e7c7c3c3000 |
|
VISUAL
colorHash
|
07007000040 |
|
VISUAL
cropResistant
|
a080949480a4e4e4,93929698b2d2d292,c4c1c0e0e0d4c486 |
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 28 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.