Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EE238B4A230E335B1C247E8DA6425287A5FE1DDD7C699B0F388AF11B0D6CE8D9150CB |
|
CONTENT
ssdeep
|
384:Y7kUteguF72lRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3As2GRW8Md:Y7kUteguFMhhPhleMeDGCSPxeeWmHvW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c4311f68f87869 |
|
VISUAL
aHash
|
2036f0f030362620 |
|
VISUAL
dHash
|
4c4c8ae163686c49 |
|
VISUAL
wHash
|
a036f6f8b8362fa0 |
|
VISUAL
colorHash
|
30202000041 |
|
VISUAL
cropResistant
|
e0c2c492929270f0,f2c1c7ccd093e084,80e06063b5327664,f8e0f8ee769a5c0c,4c4c8ae163686c49 |
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 76 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.