Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157A38B33411935274437C6D530A55B3BD2E69A4FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:eSUqPhZLz4NP/y9svbliCdMoQzFtiuCa28y2O9:tmAcQ4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d138bd29b547 |
|
VISUAL
aHash
|
00606000000000ff |
|
VISUAL
dHash
|
9cc9cbcbcc3cc1d0 |
|
VISUAL
wHash
|
44fff371240030ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
d080800130308080,9cc9c3cbc9cc3cc3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)