Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8329617B14A3A37067346D3EE777B95E3A1C0D4C1E20A1222FE835D16E4C60FAA359A |
|
CONTENT
ssdeep
|
192:wceMcMcJeCEDGV5YOSOWnO5sX2dmC5X5Gz4RwhUmS:wM7yeLCVCcW2b5+S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36d6d923939926c |
|
VISUAL
aHash
|
007830383c7e3820 |
|
VISUAL
dHash
|
ccc2c0c2d0d4c0c8 |
|
VISUAL
wHash
|
607838787c7e3c78 |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
ccc2c0c2d0d4c0c8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.