Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C435132B150D52A4DC754DCF2B1AB08155EE305FF3284A925F4A2BFA3DADE8A9113DC |
|
CONTENT
ssdeep
|
768:1On5sHrn5sHpejk1kL5T9IG6I/m1TYrSljvRCR4dqXiJ/X41akpB7d0QulRQ:1G189FrCzgMj2F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9e969f4f0128796 |
|
VISUAL
aHash
|
fbd119dfdfff0000 |
|
VISUAL
dHash
|
b3337b9334403498 |
|
VISUAL
wHash
|
fbc101cfdfff0000 |
|
VISUAL
colorHash
|
071c0000000 |
|
VISUAL
cropResistant
|
b3337b9334403498,000c3b06c15881c9,112327861431d9b3 |
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 277 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.