Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF0375B9719111B7039B89E9B0A9B76EF0EBC70ECC57C899F3AD82F523CAC549D41150 |
|
CONTENT
ssdeep
|
768:ab6ooSiUTgBKuX62gxEqSOiGpiGeiG9iGGiGJiGdiGbiGaiGfixquCVB0b6nX9Jf:a2ooSsNiubCjkBvjojEfLNG2Gw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92b36d699a92cc65 |
|
VISUAL
aHash
|
00007e7e04000410 |
|
VISUAL
dHash
|
2e84cceccce8d8b1 |
|
VISUAL
wHash
|
02447e7e647e7e11 |
|
VISUAL
colorHash
|
38007010000 |
|
VISUAL
cropResistant
|
96f4d0949ad0e831,176c9976eed9a647,2e84cceccce8d8b1 |
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 118 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.