Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C343BAC7514B02A5FB346A740BF1507763C162B180D8970A364FCAFA4FCAA9706BFD5 |
|
CONTENT
ssdeep
|
3072:pQhKFMVOqWB18oFhGX93qUPXxiVifaknpqjPEikWDPz1Gtq:B+ONXFhO93qUPXAiCknpNikWDPktq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c7383c3838c7c3 |
|
VISUAL
aHash
|
9f377c0838300000 |
|
VISUAL
dHash
|
326bc850e1e0d231 |
|
VISUAL
wHash
|
ff7f7d3c28780800 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
326bc850e1e0d231 |
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 89 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.