Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119B294B0D654DD3F50838298E3B2736B3299D285DB4702169AF5C7399BD6CE5DC2A0C8 |
|
CONTENT
ssdeep
|
384:Im11yBagjb4wKYjGFwb99GGw0jAXwmJGZwvShNP/T:IRBampBRZjgwOSnL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b331cccc3333cccc |
|
VISUAL
aHash
|
ffefffe7e7ffffff |
|
VISUAL
dHash
|
0008304848300800 |
|
VISUAL
wHash
|
3f3f3f27c0d0c0c0 |
|
VISUAL
colorHash
|
00000038000 |
|
VISUAL
cropResistant
|
0008304848300800 |
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 188 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)