Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E92FA6AF11C3370498343E6DF6226F9B32340FCC2516B5CD669C108B2598FD87679CA |
|
CONTENT
ssdeep
|
384:QjoCos3o+/exRJYjCJFCnq2OsulFTXsmMpBZ7eg/B:cohsY+83Jk6tFTcm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a55aad5aa55aa |
|
VISUAL
aHash
|
0700011f3f3f7f3e |
|
VISUAL
dHash
|
2c15257078dce162 |
|
VISUAL
wHash
|
0700001fbf1f7f3e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
2c15257078dce162 |
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 490 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)