Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161B32CB03215707B25B387E730EA6612B27D961FC80F4C90B358F897639CCDAB457A99 |
|
CONTENT
ssdeep
|
1536:qHeMTVK5BWIqHxh8L6MmbXhjaPnQKR+9DMue9Nd8:ATjvmL6/btn9DM9Ne |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1314e1633165e7d |
|
VISUAL
aHash
|
00ebcbcfcfffffff |
|
VISUAL
dHash
|
9c1b9b9a9a98c2d2 |
|
VISUAL
wHash
|
0048c8c2c1cbfbfa |
|
VISUAL
colorHash
|
06000030200 |
|
VISUAL
cropResistant
|
9a939a9a9a90d2f2,091496949c969409,0028546969790620,9f2f2f2761b1476f |
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.