Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DB319D8D72053FC584ECBAEFE3164647A1F60EABAC14998C29D5EA496D3CC4DC06CC6 |
|
CONTENT
ssdeep
|
1536:0cO+wesQ89hW43OCZrcgDPUcPNSSVYknQe8hSt6pQCawLyRZZeAB4+y+:0cteFcgDPUc6VWwg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d959762ac92d988d |
|
VISUAL
aHash
|
00c0fcfc381801ff |
|
VISUAL
dHash
|
100030f0f0396b44 |
|
VISUAL
wHash
|
00d0f8fe781819ff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
100030f0f0396b44 |
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 17 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.