Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA839431F51430AF120355EAF663A628129DE26EF35182A466BC03B5EBD3CF9F673059 |
|
CONTENT
ssdeep
|
1536:1r4jFIqgICL8jU58j8kCjU58j8ujU58j8F:1r4LpjLj89jLj8ujLj8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cc339acc33 |
|
VISUAL
aHash
|
1808380000381c00 |
|
VISUAL
dHash
|
ba12220406b2321e |
|
VISUAL
wHash
|
d8d8f8c0c0fcdcc0 |
|
VISUAL
colorHash
|
0f400010001 |
|
VISUAL
cropResistant
|
f4fab4b5eccca4e0,ba12220406b2321e |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.