Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC82B77380C59B7722A393D59620B71EE38E655ECD091A18DAD5C38F4BC0F74CCAD2A5 |
|
CONTENT
ssdeep
|
192:hxv6lEK6EvCaS/T2cORpLK3j1kMFZLU7iQ7Y4jS/BPhjxyaNMg4TVLDq:kEuCaY2cupk1kMPQ7m4j+BPhjQaNMgQq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c649b039c6666db3 |
|
VISUAL
aHash
|
003c3c3c3c00267e |
|
VISUAL
dHash
|
d4f0e4ecf870cccc |
|
VISUAL
wHash
|
503c7e3c3c007e7e |
|
VISUAL
colorHash
|
38201048040 |
|
VISUAL
cropResistant
|
806499dccccc1380,e8d4d40540adaeb2,d4f0e4ecf870cccc |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.