Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0334231900129370553E5D5F276A76BA2C29245CF630A15A3F8C36EAFEFCA0EC67716 |
|
CONTENT
ssdeep
|
768:7y3oaKeTvS8mcC8SJ+txmDzxPleeeIeeejeeezeeeW0p:s3E8SJ+ileeeIeeejeeezeeeW0p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9fa96a41b3a6c19 |
|
VISUAL
aHash
|
fffd888999931f3f |
|
VISUAL
dHash
|
71c1331333337268 |
|
VISUAL
wHash
|
fcfc888999111b1f |
|
VISUAL
colorHash
|
076000000c0 |
|
VISUAL
cropResistant
|
71c1331333337268,3f3533191a1b1f15,d4ebabc3b2f2c5ae,2c2a33a4eca3ad4c,2d269f7f6d23bf36 |
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 49 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.