Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176B2B678534A6E3EF25B87E5F171332992AEE25ED70B180CD2FE0AB067C1CD49627190 |
|
CONTENT
ssdeep
|
384:V1EiZudZB85HqdRUpifnC2smvKfxpzLfcu8pHZ0+k+e:V1EiZuei6pileDj98k+e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c9d363694363636 |
|
VISUAL
aHash
|
1e18181818180018 |
|
VISUAL
dHash
|
d471f0b2b0707030 |
|
VISUAL
wHash
|
5e3c3c3e3c3c183c |
|
VISUAL
colorHash
|
38201030000 |
|
VISUAL
cropResistant
|
d471f0b2b0707030 |
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 217 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.