Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E051012162687D33815792D9B1F1AB6A32818705CA8F275147FAC7EA0FF3D64EE1C099 |
|
CONTENT
ssdeep
|
48:T8LLVnLfv9W35kuDEMiVhXobp6KpEg9NIn:TSVbIpfQM2hXGDN2 |
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 3660 techniques to evade detection by security scanners and make reverse engineering more difficult.