Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAD3C571F220315E5633C3CA75A2DF9EE223F58CDB32A258EE90912F66D5CB60C259C5 |
|
CONTENT
ssdeep
|
1536:QL3cC/1Zg7mTU90/7pSNSN552eINEBaGIBw5Hspgl2+Z1u8sp+jmm4h6sGUS01QK:Cbyt771 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc75f175558504c3 |
|
VISUAL
aHash
|
02c13d97e897ffff |
|
VISUAL
dHash
|
161df52689356b28 |
|
VISUAL
wHash
|
228119a7c017fbdf |
|
VISUAL
colorHash
|
07202000001 |
|
VISUAL
cropResistant
|
161df52689356b28 |
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 288 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.