Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB33933096452737910349E1F560639F33A7A31BCA579C5CB3F902976BCBCB9AC163A8 |
|
CONTENT
ssdeep
|
1536:d0XPxYJubMMSZSW5AuzbzszFzYzeozg2FDikk5U/JDU/J5U/JQU/JTU/JVa:oyAuzbzszFzYzZzAU/JDU/J5U/JQU/Jx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9ff3b3a2a4c5444 |
|
VISUAL
aHash
|
81efb2315d185901 |
|
VISUAL
dHash
|
2b1b76e5d9b29393 |
|
VISUAL
wHash
|
81afba397d185a51 |
|
VISUAL
colorHash
|
30000e00000 |
|
VISUAL
cropResistant
|
2b1b76e5d9b29393 |
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 218 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.