Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13492BFB04305885F4AC3F8D091A27E1B6272C5E2E10F5BD962F86A5C5EC5FE1CDD13A8 |
|
CONTENT
ssdeep
|
192:2XZfWrSZ+f0TSb+Amfj+AmcG3+AmhN+AmWe+AmLMCWyye/TlM0WYCk1PXLPLRLSq:2RWyye/T+talYPq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b636c9dac8c985c9 |
|
VISUAL
aHash
|
ff070707070787ff |
|
VISUAL
dHash
|
0c6c6c4d4d6c6cc2 |
|
VISUAL
wHash
|
ff070707050703ff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
0c6c6c4d4d6c6cc2,2d3171d1d1361434 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.