Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE128CB00131B4EE169719D5EA70AB6E30F2871CCE6709D096BC93562FCFE58FDA1246 |
|
CONTENT
ssdeep
|
192:+Rz/orkw40TuiisDicu/mZXyg/bL9xf1tkMX+TWBpnPPMARdh:+m+0TuiI+tT71tJXF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ec1c1171ed8e0 |
|
VISUAL
aHash
|
ff878787a7ffffff |
|
VISUAL
dHash
|
902c2c6c68000808 |
|
VISUAL
wHash
|
0003070707bfffe7 |
|
VISUAL
colorHash
|
07040002040 |
|
VISUAL
cropResistant
|
902c2c6c68000808 |
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 1518 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.