Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8536833A445EC3305A3FAE0A9B5531F629AC30BDD434782A3F86B9C4BDAD90DD79425 |
|
CONTENT
ssdeep
|
1536:oO+revQdJxwJBM3DlGj8HNKD1bXXKD1MXszvfL:oO+revQdJxwJBM3DlGj8HNKD1bXXKD1V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f5598a2a39731c66 |
|
VISUAL
aHash
|
81ff82c2c3f7e7ff |
|
VISUAL
dHash
|
3b692a1a16b4cca8 |
|
VISUAL
wHash
|
00ff8a42817267ff |
|
VISUAL
colorHash
|
070080c8000 |
|
VISUAL
cropResistant
|
3b692a1a16b4cca8 |
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 311 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.