Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141E134F0917CBA339317D88AF1E2674DB0D68A17CF973B106AFA63E11AC7C759908056 |
|
CONTENT
ssdeep
|
192:S5bRVT9RdNfxXYTp33ypQ7OT5QFyXkKVovxMGG6Now:QPT9vNlqobcDZNow |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c593366cc99ccd9 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
ffcfb2b2b2b2cfff |
|
VISUAL
wHash
|
01031f1f1f1f0f1f |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
8e8e96b090c22180,ffcfb2b2b2b2cfff |
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 151 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