Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D733AA062936B7E3603C3F8B116F225F09A71FCD67FC1D9E3AC0191A6CA9D8854D5E1 |
|
CONTENT
ssdeep
|
1536:H8qf3Yhncr+fSjc91mpw0z+oRwrDOy7ndVMDlvANtF9we8YV2SEaxWBSlAn8OAdY:6f+Cmpw0zuo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8243ed1e3e616d3c |
|
VISUAL
aHash
|
103c606606247aff |
|
VISUAL
dHash
|
61c9c4dd6dcdc214 |
|
VISUAL
wHash
|
007c3c640e247fff |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
61c9c4dd6dcdc214 |
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 4912 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.