Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3634222D793190390BBC5D8B073478D2291468DC7134B79A7BD63BAB9CFCB63612398 |
|
CONTENT
ssdeep
|
1536:4tLzDuXeAe6eAgzr2xn57rYupTOOzSeeeeEeeLeAee2dLbBsfHzueQGee9Seeedn:nt57rYupBzunBcTOeNbPRw6fq95Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b86c6cc6939393cc |
|
VISUAL
aHash
|
c3c1c3cfe7c7c7c7 |
|
VISUAL
dHash
|
2f2737990f9f9f9f |
|
VISUAL
wHash
|
8181c1cfc7c3c7c7 |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
2f2737990f9f9f9f,745c33fa1a121434 |
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.