Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A733068271C3E2C641BC7E4F7A5FB68132C9190F95AE1AC96BC66705687C84FC3B9C4 |
|
CONTENT
ssdeep
|
1536:6GDDDD8DDDDhDDDDfDDDDQDDDDFDDDDsDDDDD8DDDDhDDDDfDDDDQDDDDFDDDDsx:62 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e49a9b9b0a649b |
|
VISUAL
aHash
|
e7c3c3c3ffc33d43 |
|
VISUAL
dHash
|
968696961c176987 |
|
VISUAL
wHash
|
f7c3c3c3ef00bb00 |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
16869696969e1e96,254949b0d1d92d2d,0000000000000616,4616131658090b03,010003030b030001,0080002020008000,0000000000000000,0000000000000000 |
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 22 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.
Found 1 other scan for this domain