Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C55157AEC0C5A09707675CDE3DC0D8FE995F357E32218E696C5DF31818A818B82A97C |
|
CONTENT
ssdeep
|
1536:0+rS2fBg8chNFteqTMW6wlD6xHWt0q7hNFteqTMW6wL96NVWt0FiJnP6RrAF0/V2:z5fS8chNQDu0q7hNQlu0QhNQ5u0HkiX6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3631e4b4b364336 |
|
VISUAL
aHash
|
00e7c3e7f9fd87c7 |
|
VISUAL
dHash
|
39078f8f43cb262f |
|
VISUAL
wHash
|
00c3c3e3e1fd838f |
|
VISUAL
colorHash
|
06000010018 |
|
VISUAL
cropResistant
|
190f8f9f43db261f,0418597939795804 |
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 80 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.