Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125B108B0E48008B7A47BC6B1F5867F2622A4CB9FD5A38291D3ED410317D6C20FD86664 |
|
CONTENT
ssdeep
|
96:m09TBn9YLfqtTrGZddkFvpWiYjn5EXm56Tbju:H9Tx+ddagiYj5EX+6THu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99336666663366cc |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
aab2b2b2b2b2b2b2 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
31007000000 |
|
VISUAL
cropResistant
|
967c3b0dc1754d00,aab2b2b2b2b2b2b2,4501036969690145 |
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 88 techniques to evade detection by security scanners and make reverse engineering more difficult.