Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6934BE83258B22B597383AB50EE31037279521B580D4D20A258ED9EF6F8C5FB067FD5 |
|
CONTENT
ssdeep
|
768:dDyuVaSbqe7wayKS4UfINc2iRaZls02bybMdN/zgsk0Y16JPYLOT6CHoZuGOjjg6:J1eAbU1RSs02ObI/i3UwLVCcuGOjjRn3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ffe97f7c50545000 |
|
VISUAL
aHash
|
c0ffffffff808080 |
|
VISUAL
dHash
|
0003918091100000 |
|
VISUAL
wHash
|
c0ffd0feff808080 |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
0003918091100000 |
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 427 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.