Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A13B731A2006A3F11ABC3C9F356B73EA2F78289D74A111542FC477D4AE6E85EC33569 |
|
CONTENT
ssdeep
|
768:WOy5NsMPYHrfUn/9hGaauH+bmHpGu7sOy2+y9BH4cLIe:0PGfUn/9hGaa6+bpu7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76db018fd134d8a |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c464a4241c9f900 |
|
VISUAL
wHash
|
00f3f3e02000ffff |
|
VISUAL
colorHash
|
31000000380 |
|
VISUAL
cropResistant
|
3d79008830708000,1c0e424a42c240f9 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.