Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10783D83C41521B7FA12B8BCB75A13B69F0B7928EFF45009CE7F823646BE6CE46854449 |
|
CONTENT
ssdeep
|
1536:ayjFo4ScmCvJTRqtcmCvJTRuz6cmCvJTRo65PjJII7f7IBgqzB7dpeq:ab4yPSxzB7fl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad69c312396dcb83 |
|
VISUAL
aHash
|
b9fff383839fbbff |
|
VISUAL
dHash
|
728426361f237374 |
|
VISUAL
wHash
|
98feb1818191b1bf |
|
VISUAL
colorHash
|
07007000040 |
|
VISUAL
cropResistant
|
728426361f237374,031913d999b7ecbf |
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 8 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.
Pages with identical visual appearance (based on perceptual hash)
Found 2 other scans for this domain