Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3C195B41152217E91970EE5FAA1EF2EC1AEC35ECA5BC048E3DC9276ABC7CA05CC5354 |
|
CONTENT
ssdeep
|
96:McSKkBR4oI4FoC+xHVraJ8lqcAfXru1lJ4clek7:5PVhXTocAfXru1l1Ya |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9919e666cc66b319 |
|
VISUAL
aHash
|
00181818180000ff |
|
VISUAL
dHash
|
7070b2b2b23000b2 |
|
VISUAL
wHash
|
ff3c1818180000ff |
|
VISUAL
colorHash
|
30000000183 |
|
VISUAL
cropResistant
|
7070b2b2b23000b2 |
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 69 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.