Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA3382F0635010B906D3FED4E1927E4A71B7C8EEE21B5998E2A84A4C1FC1FE988C57D5 |
|
CONTENT
ssdeep
|
1536:USl3q3wzEDEbBnc9A54s7tU7DB7ID7Lq7fOAkieeemAU:MDEbBnc9cL+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6f21939993953c9 |
|
VISUAL
aHash
|
4c7676767c10183c |
|
VISUAL
dHash
|
98c4cccce4e43061 |
|
VISUAL
wHash
|
4e76747e991c183c |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
98c4cccce4e43061 |
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 2750 techniques to evade detection by security scanners and make reverse engineering more difficult.