Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144132AFD239466FCE002C3E4C6257A24767B30FEBF564B5CC3E46BA4665189EC89D890 |
|
CONTENT
ssdeep
|
768:Aypnv+1awYL21GywGcIUKBuT4GbJXUM/76lnyb99MCIxBgw:JpnvrwYUbwKUjyMj6s9MCuBZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fb5a80c6c4ce49da |
|
VISUAL
aHash
|
fc80c8d0c3c3efc1 |
|
VISUAL
dHash
|
241b1b3312161713 |
|
VISUAL
wHash
|
fc8088c0cfc3ffc1 |
|
VISUAL
colorHash
|
07c09000000 |
|
VISUAL
cropResistant
|
241b1b3312161713 |
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 136 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)
Found 3 other scans for this domain