Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7920B71F32523B44AC643EEFF2322EAE51240A9D6516B8CD278821DB18D8EEC529DC5 |
|
CONTENT
ssdeep
|
192:QoLoB6CJ54t94h6mNr7bZmQCEmbr1u9jBVSdo/RMkQYTlg8Bjynku9cuGRmKbMp9:QioCKdZm1u1BSo/Sk2hksmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a55aad5aa55aa |
|
VISUAL
aHash
|
3f010f3f7f1f7f3e |
|
VISUAL
dHash
|
6189f9f1dad9c162 |
|
VISUAL
wHash
|
13000f1f7f017f3e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
6189f9f1dad9c162 |
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 485 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 1 other scan for this domain