Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18893F9B512576B3E1003C2F5D318E526D385EA4ED7638946F6E88317B9C9CF8CE288E5 |
|
CONTENT
ssdeep
|
768:Pakh8tgsgAU3AAHMQrQA33o4I0YEAX/Jkh8tgsgAU3AAHMQrQA33o4I0YEAX/6xo:lPdxo0sRfrZ8L0wFYJsLnGoSrQqTu05 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ee7c3b098a498 |
|
VISUAL
aHash
|
fb839f9fdfffffff |
|
VISUAL
dHash
|
432a3434b4d47886 |
|
VISUAL
wHash
|
00001e1e5e1effe7 |
|
VISUAL
colorHash
|
070c1000200 |
|
VISUAL
cropResistant
|
432a3434b4d47886,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)