Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCA3DE23422975274537C2C0347A6B3BE1A69D5FFAE70E410EDCC7FA6AF9CA0741A119 |
|
CONTENT
ssdeep
|
768:MtpR4nXF6YjOpSpFlTC6rrKYd7dUyxLg34DFX:MtpR4nXBKpSpFl26vkyxLg32FX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d252ed6c9a1343cd |
|
VISUAL
aHash
|
00002c0c0400ffff |
|
VISUAL
dHash
|
14c4c8d9e8602804 |
|
VISUAL
wHash
|
00247c7c3c00ffff |
|
VISUAL
colorHash
|
3a200010040 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,0002c82626182666,1244ccc9d9e8e068 |
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.