Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16043E7206311B76E5C330F34B34A30A9C1EEC388E9E6647CB65A921675D307AC747DBA |
|
CONTENT
ssdeep
|
1536:mmF0wA3ans+OYI66o3E4tEH4S3qDZ7U1c/T32YJ7bHBe:TCYJ7I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f1718e8e33338c65 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
5196968a9a040a50 |
|
VISUAL
wHash
|
00c3c3c3c3c3ef8f |
|
VISUAL
colorHash
|
0760a000000 |
|
VISUAL
cropResistant
|
5196968a9a040a50,40606ccc8c8c8c6c |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)