Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC1391707148617F411B8AD5F630BF5973EBD28FE69B88609BBD93994BC3CA0EB12054 |
|
CONTENT
ssdeep
|
768:bTvK45jNCq+syMt7ZRyvtUeCEyJtg++yEt2+ty1tkvln76fb49CukQ4K8QNhHGQD:/K45jNCq+syMt7ZRyvtUeCEyJtg++yEV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b993464a4399b9b |
|
VISUAL
aHash
|
1e1e1c0c3e300004 |
|
VISUAL
dHash
|
39785838f0e480cc |
|
VISUAL
wHash
|
df3e3e1e7e300026 |
|
VISUAL
colorHash
|
30000e00000 |
|
VISUAL
cropResistant
|
c082010000000000,39785838f0e480cc |
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 45 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.