Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A732BF83001733752B705F2B1697F16B17E960FC81F8861A3ACE5966BE8C466873798 |
|
CONTENT
ssdeep
|
768:Bk5IrhsXCOLGxJ4gV00Uw/FzMsKp/rh1uKpPP+y4c7vMlI9UfqzdrRHcy7BWk2HC:T6XCb//FzYpTLhoc7I6rR8Qv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91b42c6968696df5 |
|
VISUAL
aHash
|
430e4e4c6e0c0e00 |
|
VISUAL
dHash
|
b25c9c98dc5a181e |
|
VISUAL
wHash
|
cf0e4e6e6e0e0e0e |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
b25c9c98dc5a181e |
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 221 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.