Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E883FE71E151A9378193D2E89376132F72E6C358CD875B29A3F8838C8BDBDD6DD22181 |
|
CONTENT
ssdeep
|
1536:QDyJhBN0vkI2QNJA+9FDyWhBN0SitViU6/xjn:QQ1I2WJAkxMtVH6/5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f818a7a7c349998d |
|
VISUAL
aHash
|
b9000000ffffffff |
|
VISUAL
dHash
|
6b363011172e2b4b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06000030003 |
|
VISUAL
cropResistant
|
6b363011172e2b4b,ffffffffffffffff,7c7d767430303131 |
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 178 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.