Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135D144307112387A523B1681B062530E63138326D753181DFBE51BA6BBCDCEA89B26E9 |
|
CONTENT
ssdeep
|
192:Detpb0gSSGXvErEFt5LRUeLR03LRJ1LRWMALR70MKNqyTzhBeC3b:UlGFFt5LRUeLR03LRJ1LRWpLR70NtTzl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88552af5885d7fa2 |
|
VISUAL
aHash
|
000000ffff000000 |
|
VISUAL
dHash
|
000000b08a000101 |
|
VISUAL
wHash
|
00001018ffffcfcf |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
0000100c4c0c1008,000000b08a000101 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.