Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5B23F602A94D93B4213E1E4C932BF1AB3C6D20AC96B9942B6F5439F5FD3C11CD0666F |
|
CONTENT
ssdeep
|
384:ZKwLnyJH67Vm9GccJvGfFgWYaJcTiCxpsn0yqn5s2Sn:RDuyrtbs0yqn5s2Sn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
871c34f6157394cb |
|
VISUAL
aHash
|
021838383c7e2032 |
|
VISUAL
dHash
|
d4f2f2e2e0cc43c6 |
|
VISUAL
wHash
|
0a383a3e3e7fa832 |
|
VISUAL
colorHash
|
39000e00200 |
|
VISUAL
cropResistant
|
d4f2f2e2e0cc43c6 |
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 228010 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.
Pages with identical visual appearance (based on perceptual hash)