Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA327173A500DD2E8D9B51CCF6C49688425ED346FB3148CAA1A090FF7BD4DF029A97AD |
|
CONTENT
ssdeep
|
192:iW3JCYcscYchDmAFZjIxcMcnthWeNWbTdQJVfMmUU8VCoQ:PcscYchDmndQJVfMmUFCoQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccccc23cccc |
|
VISUAL
aHash
|
e7c747c7ffffffff |
|
VISUAL
dHash
|
8d1ddd8d0c800800 |
|
VISUAL
wHash
|
c4040000c7fffffe |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
8d1ddd8d0c800800,7c78337c78797c7f |
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)