Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16803C57012202A7F310746D9F29177ADB1BEE359DD475808B3FD61E76BCEC988A076A0 |
|
CONTENT
ssdeep
|
768:f6n2kPQPiWZRBGvTB2PgoeG5JWZbt4VXDQ7z8lxSAIxR0sUnLGN/:q24oS4RU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81283c4bab3ee3e3 |
|
VISUAL
aHash
|
031a663c7c7c1c1e |
|
VISUAL
dHash
|
3fb6cce0d0c07078 |
|
VISUAL
wHash
|
011e767c7c7c1c1e |
|
VISUAL
colorHash
|
31001c00000 |
|
VISUAL
cropResistant
|
3fb6cce0d0c07078 |
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 5616 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.