Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1070342609145A42D5227A2E2E0727F0D7277E34BE78A0C0469FE26679FCAC7076478FD |
|
CONTENT
ssdeep
|
768:e9NoRvqDnAaxE8WKN3DDY5HEqxeir57+VQVIcqcc8Jmr6pOkWdnzHSy4hV7hVUhp:e9NoRvqDnAaxE8WKN3DDY5HEqxeir57q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c3a6be12bacaccc |
|
VISUAL
aHash
|
810c1e16427e7e34 |
|
VISUAL
dHash
|
1369343492e6e4e5 |
|
VISUAL
wHash
|
813c1e065a7e7e39 |
|
VISUAL
colorHash
|
38002048000 |
|
VISUAL
cropResistant
|
1369343492e6e4e5 |
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 12 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.