Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6A3B858A367A44927F3C3D1E0EB4302217A522FE60E4CA0D3ADF9BEB59D55530279CE |
|
CONTENT
ssdeep
|
1536:2V3nlUuRNka2wblHbJLwLIz9GguGOjjRnK:25rX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c2663d9379cc866 |
|
VISUAL
aHash
|
0018181e06181800 |
|
VISUAL
dHash
|
c8b0b0bcacb2b2cc |
|
VISUAL
wHash
|
003e7e3e3e7e3e00 |
|
VISUAL
colorHash
|
38031000000 |
|
VISUAL
cropResistant
|
00000c4d4d200000,c8b0b0bcacb2b2cc |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.