Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D325233B600CD294DAB568CF6C49589415AC345FB3148CAB2B091FF7BC4CF16AA979D |
|
CONTENT
ssdeep
|
192:9nkdQ8Nd8UxqMgxV0xMTCDEb9McnthWeNWb7fMmUU8VCoDz:9nYQ8N9xMTCDEwfMmUFCoDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87fe47010109ddfe |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
686c6c6868686868 |
|
VISUAL
wHash
|
3f07070f0f0f0e0e |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a01898e080808180,f184acb6b6ac84f3,1864641840000000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.