Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16542DD3285483D37129787D5DA65A31F31EBC26EDE83166543FC83E90BDADD1EC26828 |
|
CONTENT
ssdeep
|
192:YjbsQkrTQNRVRKlFleQv+uzPE60ckuQ/OL6pAN8cYtiNfqWqHXj8KXATgqpdFXZ:PbwQv+wbjQGOpNsNfzgj8KXA0qpXXZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
842b3f2b2a632aeb |
|
VISUAL
aHash
|
0002fffffffffe18 |
|
VISUAL
dHash
|
07c680d4c2e08830 |
|
VISUAL
wHash
|
00003f7f3f7f7e00 |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
07d680e0c2e08830,4b4b8b0707060686,00000000481ad195 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.