Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125D2DC30D441BA3B459386E0A231578BA3C2934ADF73175A6BF58B9C1FEBC94CC4266D |
|
CONTENT
ssdeep
|
768:oClSSUlRQhGoQoyAON/xCkzYSod4NZJQO:VlSSUlRQhGoahN/xCkzYSDNcO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
922efc29c61f5323 |
|
VISUAL
aHash
|
ffff00000000ffff |
|
VISUAL
dHash
|
2e8eecedcdd85a08 |
|
VISUAL
wHash
|
ffff00000000ffff |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
502eb62d8c3287d4,580008004c0c0004,0000000929090200,ec6c6ce5cdd978d8 |
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 26 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.