Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198540D234259352A4037C3E520AA5B3BD1AADD8FFAE709404EDCC7F72AF9C90741B659 |
|
CONTENT
ssdeep
|
1536:zUjl99tMbXlOJi55R+OvS0jR3/r8cH8ArXvUd0gAK6Fyz0n/2JW1RHowKKq0rp3t:UMw0JJ9kG/2JW1RHF1GIce |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961e6d63c1c9d29c |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
c32f6cd4cccc338e |
|
VISUAL
wHash
|
00007e7e7e7e1dc3 |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
ec8cb6eab08ccc32,010000026886960c,d32f2cccd4cccc33,455101f5f1d50145,6dd79b696a494934 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)