Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAC2D77513811A3E65174BE4F2E5B33CA06DC389D66B9209F2BD02B357CAC85D8376E8 |
|
CONTENT
ssdeep
|
384:twPg0RMhi3ndpWxjskAUoWsljOztoKBQoqHOSnoffVTD7ol451:q1rLWxjeUoDjUoGQoqtnoXlD5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aeae3b48ff384043 |
|
VISUAL
aHash
|
81ffffffff100000 |
|
VISUAL
dHash
|
2767e727c7d7a758 |
|
VISUAL
wHash
|
01f7fffff7100000 |
|
VISUAL
colorHash
|
120c0000041 |
|
VISUAL
cropResistant
|
c9cdcececed64b5a,e2e164759cd2c6c6,9ffee18086e6e666,78e202ba42893135,2767e727c7d7a758 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.