Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156549370E254EE32A2A7C099A5A4CB6F3180D706C74B075497B8876EB9CBDF1DF211D8 |
|
CONTENT
ssdeep
|
6144:SPrH4VKWy3K855gVOpDQUVzaJdYnPjytG1UJClbwT:QUV43lDQUVzaJdYnPjytG1UJClbwT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc66996633ce3398 |
|
VISUAL
aHash
|
1018183800181818 |
|
VISUAL
dHash
|
69b2b2207020b2b2 |
|
VISUAL
wHash
|
bd18183c3c3e3c3e |
|
VISUAL
colorHash
|
38600008200 |
|
VISUAL
cropResistant
|
69b2b2207020b2b2 |
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 39 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 2 other scans for this domain