Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E103D93364CC563F4592D3D5A3240F5BF366834CC27A9AAE95E9C33A0AC3D64CC696D8 |
|
CONTENT
ssdeep
|
768:v+33biGX/Bs2oGcjHoa9AcQ/8EhWrWMo69Mjt8KBKYKu/KhLzPd67SdlYF47RmLq:v43bJX/BffcjzA9/8EhWrWMo69i8KBKx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946bb494eabb86a1 |
|
VISUAL
aHash
|
ff000000067e0e36 |
|
VISUAL
dHash
|
71f0ccf0ccccbcec |
|
VISUAL
wHash
|
ff180000767e7e76 |
|
VISUAL
colorHash
|
01000000030 |
|
VISUAL
cropResistant
|
0001416969550002,a2a2e0e0d217178c,a62466a424327236,83c1b878f8dc9f26,d2d9fcfaf8f8f8f8,b2e0ccf0ccec9ce4 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.