Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117F210216840EC2741DB59C8A572562661FA8349CA2706C8FEB5C7FA5BEFC7CCE37211 |
|
CONTENT
ssdeep
|
768:SasIx/jFdMrr8tjevGBybaOw7Uf7hd4Xjn1:bsIxpdMrRvGB8ajU7g71 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed99ee0bd4e41283 |
|
VISUAL
aHash
|
ffc3fff30000f3f3 |
|
VISUAL
dHash
|
3323dd86d3a92723 |
|
VISUAL
wHash
|
ffc3ffe00000e1f1 |
|
VISUAL
colorHash
|
07002610000 |
|
VISUAL
cropResistant
|
7c23b348a6c6d3a9,e5c3272303232325,00002c9090c80000,c6c6c3bbe1072323 |
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 47 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.