Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA234A726722B4A843DB91EEF73C2946B2D1589DF8C74414F5C99ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ah+EsZx8/G8S4eDawIMABFwjMAB8r82+/9dtZkDieE565ThHEnnvdhfePqDv+AzY:ah+EsZ/8leDawIMABFwjMABw82+/9dtY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6ac5c17a85853b |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4d55454501000000 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
1e006000000 |
|
VISUAL
cropResistant
|
4d55454501000000,0a9494a8a6202020 |
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.