Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCD218F7514421E12302F7DAF223739AF583417E6EB898A4B1AC0755D3F9CED8061E9A |
|
CONTENT
ssdeep
|
768:n6IlN/w96KyK86DSQocyWb2/mPidXT3X0tOWkPidXT3X0tOWyx:q2xV/WbV/WS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a466cfc961cc8e33 |
|
VISUAL
aHash
|
ffe7c7c3c3ffffff |
|
VISUAL
dHash
|
160d8d869e210000 |
|
VISUAL
wHash
|
ebc7c7c3c3ff0000 |
|
VISUAL
colorHash
|
07001000050 |
|
VISUAL
cropResistant
|
160d8d869e210000,c3cd8ccccd4f3c13,0000103030700420,008b631b1b23cb04 |
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 923 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 10 other scans for this domain