Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D234AB26722B8B843DB91EEF7382D56B2D1489DF8C74454B5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aP+EsZx8/G8S4rDawCMDBPwCMDBGr82+/9dtZkDieE565TmHEnkvdhfVPqDv3AzE:aP+EsZ/8lrDawCMDBPwCMDBC82+/9dty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f94c06a6ac063 |
|
VISUAL
aHash
|
8181810081ffffff |
|
VISUAL
dHash
|
7b73754149040000 |
|
VISUAL
wHash
|
8181810081ffffff |
|
VISUAL
colorHash
|
0e002e00000 |
|
VISUAL
cropResistant
|
7b73754149040000,52a54b1a35aa58b1,f232ccd4d4d8c8c4 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.