Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18A235BB26322B8A843DB91DEF7382D56B2C1589DF8C74514F5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:an+EsZx8/G8k4oDawYMcBnwSMcBur82+/9dtZkDieE565TmHEnkvdhfVPqDv3AzE:an+EsZ/8foDawYMcBnwSMcBa82+/9dty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f94c06ac1943a |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
6971554951000000 |
|
VISUAL
wHash
|
8181810081ffffff |
|
VISUAL
colorHash
|
16007000000 |
|
VISUAL
cropResistant
|
6971554951000000,dff1f1f7cfc8d4d4 |
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.