Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101C2B5B065D2CE3755A390D4EFBAA72B32D58348C443434E56FE432C4BD9D8ADE2A648 |
|
CONTENT
ssdeep
|
768:QfL1+G8RGnbKGHmoW0nE381vRsrvrUpsy:QfLkmmoWkEYvGrTWZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e51e9e311e6c711a |
|
VISUAL
aHash
|
00ffc3c3c3c3e3ff |
|
VISUAL
dHash
|
8e9c8686969e869e |
|
VISUAL
wHash
|
00dfc3c3c3c3c3c7 |
|
VISUAL
colorHash
|
06600008001 |
|
VISUAL
cropResistant
|
9e9686869e96869e,0000000000000000,73e1e1e0c16d6df1,fc35343c3cf94a06 |
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 6321 techniques to evade detection by security scanners and make reverse engineering more difficult.