Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDC18771121560BF23170674B2957BA4D086D75CC2534FAD72E863EBABEEDA0C882396 |
|
CONTENT
ssdeep
|
96:rTGTiB6beB9SRkykS1PBqAFw0A2LhVKzKGKztGK6GK7GK+TGKVSenu:3GTHbXRkFS1PBVw8Vespllu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc16476c473d3645 |
|
VISUAL
aHash
|
00ffdfdfff8383ff |
|
VISUAL
dHash
|
a4203a182b2b2b2b |
|
VISUAL
wHash
|
008f9f8fdb8383c3 |
|
VISUAL
colorHash
|
07002410000 |
|
VISUAL
cropResistant
|
2a383a182b2b2b2b,4414d4ccdc340443,240bf561ceec713b,aa1771710ff07192 |
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 171 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