Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14504E970731439BA22B347E7B197676A71B9864ED90B8824F37CC15B13CEC497A23B94 |
|
CONTENT
ssdeep
|
1536:yW1crvSrCTx437zkjoTVq53QlHxh8N6g8XXhjaPnQWT+960uJ+pic:J1cjSrC4rAoTj/mN6ZXt1967+ph |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff946ac52e40383e |
|
VISUAL
aHash
|
00ffdfffbfff8181 |
|
VISUAL
dHash
|
a200303061003333 |
|
VISUAL
wHash
|
00fc9cfcbcfe8181 |
|
VISUAL
colorHash
|
0e000038000 |
|
VISUAL
cropResistant
|
0230306061003333,004616a6a6160002,d4d4d4d45254d4d4 |
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 7 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.