Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19303B830E1C5343B427356CCF625672AF1E3824EC6134A5CB6FCC6EAABC5CD0DA66199 |
|
CONTENT
ssdeep
|
768:Apl5cwyyJFknYbyKbkqLa03VFuecGFREo:A34yJFkna3ERo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9ae1cd30ce6193c |
|
VISUAL
aHash
|
fbfff3f108ece088 |
|
VISUAL
dHash
|
4227272793998832 |
|
VISUAL
wHash
|
b1fff1f108ece008 |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
34f4b1e96cd80e4b,30d6ccd8b6b652d1,4227272793998832 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)