Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0D3B571F220315E5633D3CA75E2DF8EE263F58CDB32A258EE90912B26D5CB50C259C5 |
|
CONTENT
ssdeep
|
1536:jL3cfOR1Zg7yTg9dzys8oy9REbHJFxwfrrE1dCUfpgl21ZpuvsfyaIcQh6sGQSt7:/TmF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a535751dd20d96d4 |
|
VISUAL
aHash
|
86c37e41e7189bf6 |
|
VISUAL
dHash
|
0e0fd4978c72738c |
|
VISUAL
wHash
|
26c37601679ad3e6 |
|
VISUAL
colorHash
|
07009000001 |
|
VISUAL
cropResistant
|
0e0fd4978c72738c |
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 276 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.