Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3E34531C6A51327D215478AE3DB3B5662CBD2C7CD527CA4F2B08139CBBAD482C76DA1 |
|
CONTENT
ssdeep
|
3072:OlqODKswrjylK2E6IOZuagKI3ImJS2QgIYLQICeIkPksuGIyIhuBn1NY:MvDKs2Q5Idf3NvY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed16956a78946d25 |
|
VISUAL
aHash
|
ffff00000000fffb |
|
VISUAL
dHash
|
2dc2e22305672312 |
|
VISUAL
wHash
|
ffff00002000fffb |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
2cc2e22305673312,0082949494949200,55456d51514d4181,9696969311531b59,8202020606060606,ae8ec4551b6a9b8c |
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 144 techniques to evade detection by security scanners and make reverse engineering more difficult.