Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17892B42091B10D1A92E3B0CD7BB0AF0B75E49252DFC7747866E721E88BCDC5049B72E9 |
|
CONTENT
ssdeep
|
384:Lj6e5jBxmfoDGIiQ5P1xont17YMgvR1RiQVY8uC5hNN8xZFgYgg:PrBx3iznivR1RiQVYkSFwg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd2727cd27e13298 |
|
VISUAL
aHash
|
2030007878f87800 |
|
VISUAL
dHash
|
60608cf2b2b2b2c0 |
|
VISUAL
wHash
|
203cf4f8fcfcf800 |
|
VISUAL
colorHash
|
00000e00000 |
|
VISUAL
cropResistant
|
6e7af09c9e9eccf1,8696a2a2a8a08aaa,60608cf2b2b2b2c0 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.