Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1713392706081733F20D3C3E6B7A66B1FB1E58359C7275A5A93F887A81FE6C91EC12158 |
|
CONTENT
ssdeep
|
768:X0aiFIBUpqqzlWexYItEJYId7LNHEK6VQsATT3WlEVx8JBSBvB5J:26zI+JkQ/D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767993319361cb2 |
|
VISUAL
aHash
|
207034302020ffff |
|
VISUAL
dHash
|
c4c1e0e0c8c2cdb3 |
|
VISUAL
wHash
|
607474302c20ffff |
|
VISUAL
colorHash
|
30c00010000 |
|
VISUAL
cropResistant
|
b4b48194ac2b9623,33b2cc2b2b2bc88a,c4c1e0e0c8c2cdb3 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.