Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A07383B062619B332297C7D0E6715B9AF1D6F39CD7279A0593F883995BDECC4EC02A40 |
|
CONTENT
ssdeep
|
768:enkvDvIImW+bLfmF2qTf1l7l/BtKJa2gCaW/CM4CF4dJJmACZpup/ZhYPiQCrmpx:1vDvIImW+bLSTZKqtapUnLGfKfoquyjU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92e43e962e36926d |
|
VISUAL
aHash
|
066e7e6e2c0e0404 |
|
VISUAL
dHash
|
ccccccc8c85c5c3d |
|
VISUAL
wHash
|
067e7e7e2e0e0c0d |
|
VISUAL
colorHash
|
39000038040 |
|
VISUAL
cropResistant
|
104d0cb2820c4d4c,104d0c92c2a84e4e,ccccccc8c85c5c3d |
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 106662 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.