Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1995175714819AC3B1286C1E0AAB65B5FA2D5C34DCA539B0713F8836C6FDBCD9CE99250 |
|
CONTENT
ssdeep
|
48:TXeUehzKReAB1Mdxbw9g89gS9gy9ggxGaElEnx:T3B1KTJrLvU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd1f1b783134c6c4 |
|
VISUAL
aHash
|
8181ffc3c3c3c3ff |
|
VISUAL
dHash
|
333b401e96969696 |
|
VISUAL
wHash
|
8081bfc3c3c3c3e7 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
333b401e96969696,53d3daf094dc98b8,824145239c494d45,00008080c0808000 |
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 2466 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.