Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167A35933411935274437C6D130A95B3BE2E69D5FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:1+eeKr0z2XLz4NP3+mZY9svblTOCVrm32oMVZ+XF2BOaL:DLz4NP/y9svbliCdro+m8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3658cb23c2d36c9 |
|
VISUAL
aHash
|
067c7060644e7c7c |
|
VISUAL
dHash
|
8cc8c0c8ccccd0c8 |
|
VISUAL
wHash
|
467c7860644e7c7e |
|
VISUAL
colorHash
|
38038000000 |
|
VISUAL
cropResistant
|
8cc8c0c8ccccd0c8 |
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.