Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5B319D8D72053FC584FCBAEFA3168547A1F60EABAC14998C29D5EA49AD3CC4EC05CC5 |
|
CONTENT
ssdeep
|
1536:qsO+wesQ89hW43OCZrcgDPUcPNSSVYknQe8hSt6pQCawLyRZfRAB4+yG:qsteFcgDPUc6VWw3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6333cccc333366 |
|
VISUAL
aHash
|
0000001818000000 |
|
VISUAL
dHash
|
80b2ccb2b2d0e0d0 |
|
VISUAL
wHash
|
0070787c7e7f3e0a |
|
VISUAL
colorHash
|
38c00010000 |
|
VISUAL
cropResistant
|
60402525c0031313,80b2ccb2b2d0e0d0 |
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 17 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.