Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA336C726332B8B883DBA1DDFB382E56B2D2998DF9C74590B2C8558D13C3C9061877B4 |
|
CONTENT
ssdeep
|
1536:a8+EsZ/8GqyOLDawDMZBbweMZB6w0N2/y9dGXDiJZBlvy40hxwk:a9o6wgwwBN2aDSw0H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92eca46d9b929ab4 |
|
VISUAL
aHash
|
ff624e6c0000664c |
|
VISUAL
dHash
|
9a848cc8a8828c9c |
|
VISUAL
wHash
|
ff66ce7c0040e64e |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,1fdeceaee6ced060,fe3e7efafafaf2e2,71f1d9c9645cbebe,828c9cc8a8828c9c |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.