Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC732AA43A1DF5A759B3439720DF1403B378561B580E4D206210FDAEB6BCC9BA067FDA |
|
CONTENT
ssdeep
|
768:+Bku+zLRl/iQYUfzR5zM2Of1PvWF/wjJNhh89a/ndbFXRjaPuCdKkWf//O6Co:tVbz01vWSNNhh84/dbFXRjaPndNWf/FV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc9933663399cc99 |
|
VISUAL
aHash
|
0018181800181800 |
|
VISUAL
dHash
|
1030b2322032320c |
|
VISUAL
wHash
|
38383838f8f8f8e0 |
|
VISUAL
colorHash
|
38006000000 |
|
VISUAL
cropResistant
|
a2802626362080a2,1030b2322032320c |
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 40 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.