Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6D3B571F220315E5633D3CA75E2CB8EE263F58CDB32A258EE90912F66D5CB60C259C5 |
|
CONTENT
ssdeep
|
1536:QL3cCg1ZgJmTU90rHLUCLp3qoXKGFup+uxCoxtlluFpgl2+Zhu8s2ujDN4h6sGUF:CsAas |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5743157168dc91b |
|
VISUAL
aHash
|
82c379e7a4f05fff |
|
VISUAL
dHash
|
0e06a3864888d729 |
|
VISUAL
wHash
|
22c351e704f05bbf |
|
VISUAL
colorHash
|
0700a000002 |
|
VISUAL
cropResistant
|
0e06a3864888d729 |
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 525 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 1 other scan for this domain