Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B004FBA863135663950B03F4EA31A27F329FD2CEF0671B68D718C8733A9D4D85921ADD |
|
CONTENT
ssdeep
|
768:ujJYjqYjT2wysAJF+Mh7pxSzEbA57xf842wy4HlYUJJ97rNE/6hzku/R0rgB4yQ/:4g2pPYe4rliCc9J5H4Jm60HO2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a6b68ada52827799 |
|
VISUAL
aHash
|
2f070706c0f03f0b |
|
VISUAL
dHash
|
ecce4eec3020339a |
|
VISUAL
wHash
|
3f078726c0f0ff03 |
|
VISUAL
colorHash
|
32402000000 |
|
VISUAL
cropResistant
|
83818a8cc8d34500,a4a484868a8682a0,e0ececcec7c6e6a7,8404840a0a0a00a0,8a9b978b93838393,e0e8eccec6c6c626,ecce4eec3020339a |
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 50 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.
Found 2 other scans for this domain