Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138A2C734A41214A702B78DD4E474BF8E3AD6E70EC5EA85021AB883941FD7CF4F911AF9 |
|
CONTENT
ssdeep
|
192:npp3HfBKhwNHyTYTsFRZwNi2lqewlJ4pSR2zvzADse:3HZKTRZwN8se |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da43a46e21dadb91 |
|
VISUAL
aHash
|
3000fc0800b0ffff |
|
VISUAL
dHash
|
e5e4b969966c3555 |
|
VISUAL
wHash
|
7000fc0000fffdff |
|
VISUAL
colorHash
|
18006000040 |
|
VISUAL
cropResistant
|
e5e4b969966c3555 |
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 10 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.