Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186A394B961E2027B35B781F7B27A733451EAC20DD61BD028E6BC126613CFC46BE53658 |
|
CONTENT
ssdeep
|
1536:K8Ds7zQt4tom6ibTbnb5bzbAb6bbbpb0brbabMb9bHbHbWbFbIbEbcb5Ob2bFQbY:VPm6MSvP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7a53c38c3ce6863 |
|
VISUAL
aHash
|
8f1f777564000000 |
|
VISUAL
dHash
|
1efccfc5c938c8d8 |
|
VISUAL
wHash
|
ff7f7f7764080000 |
|
VISUAL
colorHash
|
30000000180 |
|
VISUAL
cropResistant
|
1efccfc5c938c8d8 |
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 7 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.