Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1707363247901686630EF4ACFE273798E2284EBC6D99619D9C6F0471469F7CA1FED02D8 |
|
CONTENT
ssdeep
|
384:pWJC268I/C/gTqmZBSwD4a7a3pG/fa7a3pG9aqa7a3pGla7a3pGr81ca7a3pG5aB:Xx4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87704fdb301e0d73 |
|
VISUAL
aHash
|
00e0e707ef3f3f3f |
|
VISUAL
dHash
|
c4424ead8c526866 |
|
VISUAL
wHash
|
00e0e4070f3f3f3f |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
44424ead8c526866,9d2c9496989892b4,000040d0d0c04840,462aae86a686a639,c92c94dad892946d,1751515337537139 |
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 569 techniques to evade detection by security scanners and make reverse engineering more difficult.