Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A71971252195D3EE517CACCCAF1B37431AE1281E50F1108E9BC0BB58BDAD8E782B5DD |
|
CONTENT
ssdeep
|
96:BlqTY9QRYMgmSTihEKtTG66oPIk8BGpTJ:bqcOWDSzeu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cce2739966668c33 |
|
VISUAL
aHash
|
e0e0d8d818180000 |
|
VISUAL
dHash
|
8488b2b0b2b20c10 |
|
VISUAL
wHash
|
f0f8f8f8f8d85800 |
|
VISUAL
colorHash
|
3800f000000 |
|
VISUAL
cropResistant
|
8282a08e968eaa86,8488b2b0b2b20c10 |
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 21 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.