Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D22AE10640A553AA233A6C4E7717F6D60B3F35A8D0D8820DC6D0267BFD7DA4F83BA64 |
|
CONTENT
ssdeep
|
96:TrZ1sRKsMIBgkpbeXTd5kEnjjrvxoncMSbg9dH7iPqa5g+f/wwTP5QQS5JSK77pX:hxofFejJxmxiPH5OR1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
870703e8f8f8f8e8 |
|
VISUAL
aHash
|
3f3f3fdf3fffffff |
|
VISUAL
dHash
|
67fcfc3c78783030 |
|
VISUAL
wHash
|
3f0f0707070f0f1f |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
67fcfc3c78783030 |
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 1 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.