Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18203C22CF2824A27C82744DD44B4CE4F82CBDA44D9164FEFAB7962B73D5867DE118788 |
|
CONTENT
ssdeep
|
768:v6484814NS68ZAc0zWBOl7RoGWBWY6WYOWylWP8W/gHRsWolN7JWj29W8WkLhRrf:V4t4BAGqIShvMj5HrRlV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81c32f3cb84da973 |
|
VISUAL
aHash
|
1e76787e6e1c0019 |
|
VISUAL
dHash
|
f4ccd4d4dcb43073 |
|
VISUAL
wHash
|
227e7e7e6e1e0019 |
|
VISUAL
colorHash
|
38038000080 |
|
VISUAL
cropResistant
|
f4ccd4d4dcb43073 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.