Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB648429E8F38A3F453EB5C0C0A52F1552CBE34767C963F4C1A905A95B96E9DAC070BC |
|
CONTENT
ssdeep
|
3072:cRVbvxfLpxBOKcKeYTL45JCgZDXrMfxyLyMCS6Sl:EpLpzOKcKL05JCgZDXrMpeVV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c877072957295e6 |
|
VISUAL
aHash
|
043fbfbfbf808000 |
|
VISUAL
dHash
|
b4a4646864151533 |
|
VISUAL
wHash
|
043fbfbfbf8c8000 |
|
VISUAL
colorHash
|
07200010040 |
|
VISUAL
cropResistant
|
b4a4646864151533 |
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 14 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.