Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109C29A36A50050A707B798C4F2607F1EB1E7F30FC5168595AABC90896FD7CB27B225B2 |
|
CONTENT
ssdeep
|
384:ufDPurpvF8FsCWFVFLFxGFk9F3FvpxKJcVrv:SDPurLUsJvxkU1RxKyT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc9392939933d9cc |
|
VISUAL
aHash
|
3c3c381818181818 |
|
VISUAL
dHash
|
70707030b2302030 |
|
VISUAL
wHash
|
7e3e3c3c3c3c1838 |
|
VISUAL
colorHash
|
380000003c0 |
|
VISUAL
cropResistant
|
70707030b2302030 |
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 25 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.