Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF34B431E220311D5363D38A75E2CF8EC273E948D727A66CEE90A12F53DDC650D62AD9 |
|
CONTENT
ssdeep
|
1536:QL3cfJU1Zg7mTU90zoC0Y6WCtLnkC9uIqCkGmpCgk54Ck5xeCe8loCgiLmCN5uou:C7rs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f5347f12559e04c5 |
|
VISUAL
aHash
|
86c37a876645bfba |
|
VISUAL
dHash
|
2c8ff625cc956b6a |
|
VISUAL
wHash
|
8ec378856645bfa2 |
|
VISUAL
colorHash
|
07211000001 |
|
VISUAL
cropResistant
|
2c8ff625cc956b6a |
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 547 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.