Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EA2A4A5125012BF124741DFF635FB98F1AAA1A8CE375548FBDC038A43C2E95CD672D8 |
|
CONTENT
ssdeep
|
384:UGN/cftqZldrl0z9Fq9vpK3maxNFq9vpK3maxRYRvp3nN/cftqZldr10:UI0ftAuz9Fq9vpK3maxNFq9vpK3maxRF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b43083cecfc76519 |
|
VISUAL
aHash
|
f7c7c3e3d7f7f7f3 |
|
VISUAL
dHash
|
8e9c9607a4a6af06 |
|
VISUAL
wHash
|
c7c3c3c3c0c2c7e3 |
|
VISUAL
colorHash
|
07200c00000 |
|
VISUAL
cropResistant
|
8e9c9607a4a6af06 |
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 243 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.