Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FF319FD13109FD9148B83F9BF24A2D9A34AE25ECB570D45D2FC8B1925C2CBC9E19681 |
|
CONTENT
ssdeep
|
1536:80zuLP4NLky0P2WNNOAD3OZ0s65I8SzGVuNyF1bsRjCAFuji6Okv8ZBT5I8SzGVk:zKjlkXg7L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d269699839b |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6617ccdccccc178c |
|
VISUAL
wHash
|
81817f7f7e7e0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6617ccdccccc178c,a3a3232525272e2c,486aaab2a2942626,4541057969690145,4141714d4d714901 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.