Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122334131904526370283E8D4F2329B6EA2D6D205CE630B05A3F9936D6FDBDA0FCA7355 |
|
CONTENT
ssdeep
|
768:ZCibKeTtSNo0cPjuM+tpKPzxP+eeeIeeeAeee6eeeSuy:tyo/juM+a+eeeIeeeAeee6eeeSuy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c97a96a49b3b680d |
|
VISUAL
aHash
|
fffd888999913f3f |
|
VISUAL
dHash
|
79c1331b33336268 |
|
VISUAL
wHash
|
fcfc888199111b3f |
|
VISUAL
colorHash
|
076000000c0 |
|
VISUAL
cropResistant
|
79c1331b33336268,3f3533191a1b1f15,d4ebabc3b2f2c5ae,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.