Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16141AB690047AC264153D7F5A2E1332EA1D3822BCA236EC823F79F9D9FF5E85DD49084 |
|
CONTENT
ssdeep
|
48:TRfJcfbNcfAFvCMxeN2TO8PnMu+8G9r9MBMx7dMshMXM7Mh:T/8XRC/MO8PMJ8MrOCx7u58Qh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cffe72c081a53f40 |
|
VISUAL
aHash
|
fcfcbc3c38381020 |
|
VISUAL
dHash
|
28216070f2f0e2e8 |
|
VISUAL
wHash
|
fcfcbc3c383c1038 |
|
VISUAL
colorHash
|
0f602008000 |
|
VISUAL
cropResistant
|
1d96343a3efefc7d,d8ecfcf0e8c89222,28216070f2f0e2e8 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 10 other scans for this domain