Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CA3F9F1B0555A21E213C682D9B0779500B780BCDFF74050E9E45BE2EBE8D8B7837A99 |
|
CONTENT
ssdeep
|
1536:pRy1rR8sw44M1ya5vxOwjgTs1sMfScHjan+uDNFjL5rUR+XrIK2D+srvC4jdCY5G:LsG9LGru |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f47ec38392329cc3 |
|
VISUAL
aHash
|
c7c1c383dfffffff |
|
VISUAL
dHash
|
0d0f171fb6b2daca |
|
VISUAL
wHash
|
c0808081c77f7f7f |
|
VISUAL
colorHash
|
08008000c00 |
|
VISUAL
cropResistant
|
0d0f171fb6b2daca |
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 98 techniques to evade detection by security scanners and make reverse engineering more difficult.