Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C15367AEC0C5A09707A75CDE3DC4D8FE995F357E32209E69AC1DF31818A818781A97C |
|
CONTENT
ssdeep
|
1536:S+e3C4hNFteqTMW6wQ665IWt0qMhNFteqTMW6wuk61iWt0bZTvvlcd3RFSzF+uWJ:W3C4hNQiu0qMhNQku07WRI5I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9394e46131e4b79 |
|
VISUAL
aHash
|
00cfc9cfcfcfffff |
|
VISUAL
dHash
|
6913939e9a926032 |
|
VISUAL
wHash
|
004ac9cbc9cb9bbb |
|
VISUAL
colorHash
|
07000200030 |
|
VISUAL
cropResistant
|
6913939e9a926032,0418597939795804,074746667757572f |
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 2 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.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain