Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FA3CB23412935174437C2D434BA5B7BD1B6C99BFAE70E410EDCCBEA2AF9CA0745B11A |
|
CONTENT
ssdeep
|
768:mWLfXtpR4nXF6YjOpSpFlTC6rr8XMf2FqJ1UY6ZX:mWL/tpR4nXBKpSpFl26vGLqJ1UY6ZX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9213ec6d98124fcf |
|
VISUAL
aHash
|
00002c0c0400ffff |
|
VISUAL
dHash
|
1e6c69d9c9c71926 |
|
VISUAL
wHash
|
00043c2c3f21ffff |
|
VISUAL
colorHash
|
39000030000 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,5002c06e36269626,1e6c6c69d9e9c7dd |
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.