Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114B32CB03215707B25B387A330EA6612B27D961FC80F4C90B358F897639CCDAB557B99 |
|
CONTENT
ssdeep
|
1536:KbTMTVK5BWIqHxh8L6MmbXhjaPnQKR+9DMue9Nd8:RTjvmL6/btn9DM9Ne |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1314e4636464f7b |
|
VISUAL
aHash
|
00cfcbcfcfffffff |
|
VISUAL
dHash
|
949b9b9a9a98d2d2 |
|
VISUAL
wHash
|
00494143c1cffffe |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
9c9b9a9a9a98d2f2,091496949c969409,46e327ce4c5d8d8d |
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.