Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCC1963302486B3DA623C768F7A5F325436E82E8D77E8419F5DE05B626C2E54C833798 |
|
CONTENT
ssdeep
|
96:cZxm46Y3kTEmR8Skb2DTRlDUz0kVS810k/oSkSud+:cxrz7mDn9dbuSlKoStud+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a4e3839d3c7933c |
|
VISUAL
aHash
|
00003c3e03070f1f |
|
VISUAL
dHash
|
79b3f5f5df3fffff |
|
VISUAL
wHash
|
00103f7f070f1f3f |
|
VISUAL
colorHash
|
03007000000 |
|
VISUAL
cropResistant
|
8040402b134b1380,8040405656526b80,82404016663a6082,ffffffffffffffff,79b3f5f5df3fffff |
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 251 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.