Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F6429F953A853F0D6464BE4ED712945732A20FEBFD08B88836489E0F5725CDE47ACA1 |
|
CONTENT
ssdeep
|
3072:p2Z5ze6lQ0ThxHgDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAk5:p2sDw/47g7/tj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e2c6197ce98ca35 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
7235796169697986 |
|
VISUAL
wHash
|
09003c3c3c3f0fff |
|
VISUAL
colorHash
|
0e401000600 |
|
VISUAL
cropResistant
|
c0c0d0c080808088,7235796169697986 |
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 813 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.