Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133839431F51430AF120355EAF663A628129DE26EF35182A466BC03B5EBD3CF9F673059 |
|
CONTENT
ssdeep
|
1536:1r5jFIqgICL8jU58j8kCjU58j8ujU58j8p:1r5LpjLj89jLj8ujLj8p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3339cc339acc33 |
|
VISUAL
aHash
|
0808380000381c00 |
|
VISUAL
dHash
|
ba12220c06b23296 |
|
VISUAL
wHash
|
131b3b03c0f8dcc0 |
|
VISUAL
colorHash
|
06c00008000 |
|
VISUAL
cropResistant
|
f0f8b4a0e8cccce0,ba12220c06b23296 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.