Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1344120A54040591F52271CDAF8E62B0DA0DFC31EDA162C94E5B987EF6BDAE80CA1B705 |
|
CONTENT
ssdeep
|
48:TRY58OnQgmcloTEaTEoEoKEKval2km7LWAPE9QnkXt:T+58OnQRcloPGalXm3WAPE+Kt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d8b77122c9e08ec7 |
|
VISUAL
aHash
|
c4809cfcdc8cc0c0 |
|
VISUAL
dHash
|
9c1c3830b0381c10 |
|
VISUAL
wHash
|
c486defcdc9cc0c4 |
|
VISUAL
colorHash
|
0ec00000000 |
|
VISUAL
cropResistant
|
0a181c21e19180c0,fc7cfbb0b03232c8,1e42c0c0c0c2c254,f0e0e4c0c080c4c4,9c1c3830b0381c10,36329bd96db5bda9 |
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 516 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.