Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102D296709618993E9593C1D8F3B6AB0F33D9C241D64A076496FD83AD8BCBCA0DC77291 |
|
CONTENT
ssdeep
|
384:xdHvDHWrkiw0kcjNPRV5Q9SQS4ow0PeJmsxWZVH6zvtGXt:XvjWrk2N5dPw0mtkVakd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99d864367633656c |
|
VISUAL
aHash
|
067c7c0c00030300 |
|
VISUAL
dHash
|
8cf0f2b816badeda |
|
VISUAL
wHash
|
567e7e1f070f0720 |
|
VISUAL
colorHash
|
38200218008 |
|
VISUAL
cropResistant
|
8cf0f2b816badeda |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.