Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C51322162687D33811792D9B1F1AB6A32818305CACF135147FAC7EA0FF3D60EE1C09A |
|
CONTENT
ssdeep
|
48:TeLVnLfv9W35kuDEMiVhXobp6KpEg9NIn:TOVbIpfQM2hXGDN2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b399999233cc86ce |
|
VISUAL
aHash
|
effff7c3c3e7ffe7 |
|
VISUAL
dHash
|
1c100c4d4d4c304c |
|
VISUAL
wHash
|
0303030303033f03 |
|
VISUAL
colorHash
|
07001200080 |
|
VISUAL
cropResistant
|
1c100c4d4d4c304c |
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 3711 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)