Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15771526209C0AC3F5977C9587DD0F143865A821CC57FD866E7ED42AE27D2DE0C66A334 |
|
CONTENT
ssdeep
|
48:Te+Nrndl6a6wCPrPrJp4In7kgGg98K7WQ7xSePQOMZW9Q83q2PGKCcYq2n2hZ7:T/0jr46YgIGpQrz83ccYGT7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
996666999966cc99 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
304cb2b2b2b24c30 |
|
VISUAL
wHash
|
00003c3c38380000 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
8e8c9696b6ba8888,304cb2b2b2b24c30 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)