Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BF2727923183E2DA51B8BE8F7A4B775126E9294F55BD2A8A2BC127017C7C84FC375C0 |
|
CONTENT
ssdeep
|
768:Q/MH6bOJJJJvdQk+CsGd5A18SIl+vttttLttttSttttkZ:6MHoOJJJJv53SIl+vttttLttttSttttA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93ff7c80858cc339 |
|
VISUAL
aHash
|
0284ed7f6f7c1000 |
|
VISUAL
dHash
|
543949c9d9d920e0 |
|
VISUAL
wHash
|
0e84ed7f7f7c1400 |
|
VISUAL
colorHash
|
30000c00400 |
|
VISUAL
cropResistant
|
543949c9d9d920e0 |
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 27 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.