Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168235B726722B8A843DB91EEF7383C56B2D1589DF8C74414F5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aX+EsZx8/G8K4BDawnMxBiowXMxBiBwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDv+:aX+EsZ/8NBDawnMxBPwXMxByw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6ec4c43b399191 |
|
VISUAL
aHash
|
81818181ffffffff |
|
VISUAL
dHash
|
4d3171114d004500 |
|
VISUAL
wHash
|
8100010181ffffff |
|
VISUAL
colorHash
|
1e000000000 |
|
VISUAL
cropResistant
|
4d3171114d004500,a2a4802727a680a2,1000b27068b23004 |
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.