Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16334A6B0F220315D5637C3DF75B69F9EE273B54CCA32A15CEEA4A12B2AD5CB20D11981 |
|
CONTENT
ssdeep
|
1536:7L3cCbG1ZgfzTC90zwwWlxFTxt7nGe+tT+jlrkIgrTqGMUZ2S2Xv5tOP4faobT/x:nX0s+9lZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc976555949438d5 |
|
VISUAL
aHash
|
ffc3ffffc381c381 |
|
VISUAL
dHash
|
222b2b202323232b |
|
VISUAL
wHash
|
fe81dbffc1818181 |
|
VISUAL
colorHash
|
07000180003 |
|
VISUAL
cropResistant
|
222b2b202323232b |
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 515 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.
Found 7 other scans for this domain