Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187A3DD234219352B4437C2C1346A5B3BD1A6999FFEE60A005EECCBF76BF9C90746A11D |
|
CONTENT
ssdeep
|
768:X7gtpR4nXF6YjOpSpFlTC6rrWVT/WCOIK148:XstpR4nXBKpSpFl26vczxOI+48 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92136d01d31b7d2f |
|
VISUAL
aHash
|
00170f2e2e0f01ff |
|
VISUAL
dHash
|
dcbf3cdcdcbcf700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb75cdcdcb9f700,9cbf3ddcdcdcb777,b39306b6b796b3a3,6a86c781a7a7a6ac,68081032320c21d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.