Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBE223B4668056F7665B49F1B5AA9B25A5FB878FDC17C818A3BD43E103CFC50EB03620 |
|
CONTENT
ssdeep
|
768:TCE4mcLWoCWdYW1EWNIW2nWymW8dWneWXCWSdWgCWA0WBEWgCW3xW4eWZLWsQW9s:/4Xpp/vo9cefeBUr+7xxXfsy1rN3Uyi3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fca19886cb9ac2a7 |
|
VISUAL
aHash
|
ffc3c30000000010 |
|
VISUAL
dHash
|
c116966087213931 |
|
VISUAL
wHash
|
ffc3e7e0e0948898 |
|
VISUAL
colorHash
|
02000038000 |
|
VISUAL
cropResistant
|
41c2c81696961651,888c9498a4948cfc,6c8c0c2c8e91a088,52c2c3c2c2c2a303,80928285969a899d,32b2b23000200020,2004562135792933 |
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 198 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.