Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4235CB26722B4B843DB91EEF7382955B2D1889DF8C74454F5C99ACE13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:at+EsZx8/G8y4ODawmMmBlw9MmB4r82+/9dtZkDieE565ThHbjoZDWphfBqPqDvm:at+EsZ/8FODawmMmBlw9MmBE82+/9dtF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b63c989862e3c9cd |
|
VISUAL
aHash
|
cf8381c783ffffff |
|
VISUAL
dHash
|
3d35274d07220000 |
|
VISUAL
wHash
|
8580808081ffffff |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
3d35274d07220000,41ca34a684118245 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.