Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191521DB051859B3F873391C9E1A66F1234C6C25CEE8A16855EF913F69FF6CA1792C00B |
|
CONTENT
ssdeep
|
384:KFQonqpdY49VNtNDQrqJL1FZh8sVTJrFrlLR7iYk3Ssz5nB7B7RH6hm:YWp9Pbewmm0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cccc3372cc |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
00327130b2320c10 |
|
VISUAL
wHash
|
0000183c3cbeffff |
|
VISUAL
colorHash
|
38006400000 |
|
VISUAL
cropResistant
|
00327130b2320c10 |
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 4 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.