Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B7383B0C0D5557B01D286D1BAB8CBF573E04189DDA10E496EF88B66ABCEF96DC0305E |
|
CONTENT
ssdeep
|
768:lNWXmAVnRHZeZ0t5oT0oTf7NY7NSGpFir2CSsRd9t1VMVg3KePWnBpUJabN8M:An52N6NSGNC1QG3lP2HH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a9ac7c69a386565 |
|
VISUAL
aHash
|
3c3c001c04000000 |
|
VISUAL
dHash
|
69695971690f1703 |
|
VISUAL
wHash
|
bc3c7cfcbd818181 |
|
VISUAL
colorHash
|
19238000000 |
|
VISUAL
cropResistant
|
8083bab08c8c8890,69695971690f1703 |
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 54 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)