Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BB32CB03215747B25B387A730EA6602B27D961FC80F4C90B358F897639CCDAB457B99 |
|
CONTENT
ssdeep
|
1536:dZYMTVK5BWIqHxh8L6MmbXhjaPnQKR+9DMue9Nd8:pTjvmL6/btn9DM9Ne |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1314e4636364e7d |
|
VISUAL
aHash
|
00cbcbcfcfffffff |
|
VISUAL
dHash
|
8c1b9b9a9ae0d2c2 |
|
VISUAL
wHash
|
0048484a48787878 |
|
VISUAL
colorHash
|
07001000e00 |
|
VISUAL
cropResistant
|
98939a9a9ae0d2d2,091496949c969409,8e8e0f2b55256923 |
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 31 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