Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17502F9E26220572E44C3C4BDFF62F050938EE1AEE657C9D0E6DD836515DBCD0FA52A50 |
|
CONTENT
ssdeep
|
96:TGK33Ry0X7c/7BiGLCJc+aIYxwg2+3wehaBQ8VjKx3NuZkTmB0qMcSPWSic/Coa:aKPIlQJLaYjywAcQSyUZxBcFL/W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
993366cc76996664 |
|
VISUAL
aHash
|
0000181818181800 |
|
VISUAL
dHash
|
2814b2b2b2b2b24c |
|
VISUAL
wHash
|
343c181818181824 |
|
VISUAL
colorHash
|
00000000007 |
|
VISUAL
cropResistant
|
1216694996ba5854,9aaaa6868e2baac0,2814b2b2b2b2b24c |
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 64 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