Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15CA37A33411935274437C6D530A55B3BD2A69A4FFAE70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:8Svy5Nt2ELz4NP3+mZY9svblTOCVrzRqLXwmFTkFtiuCa28y2OZL:NELz4NP/y9svbliCdADmFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34af53a99399c43 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
98c8c0c8c9f7cec8 |
|
VISUAL
wHash
|
40fc78303c0763ff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480810030108080,9cc8c0c2c8cd3fce |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.