Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3C39374F110215E5637C3CF75B28F9DD273B98CDB32A258EEA4A12F26D5CB20E12994 |
|
CONTENT
ssdeep
|
1536:yL3cf5xv1ZgByTg9/zLiNPKFLnAumQltAH6PhWvtX5VIh:0Ylzc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcd7c33538c7c130 |
|
VISUAL
aHash
|
fe9ffb9b83c3f3c3 |
|
VISUAL
dHash
|
6c3323333b17268b |
|
VISUAL
wHash
|
a69f9b8183f383c1 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
6c3323333b17268b |
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 641 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 4 other scans for this domain