Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9326433A600DD2E8D9BA188F5C0968D525ED349FB3108C6A1B051FF7BC9DF168A939D |
|
CONTENT
ssdeep
|
192:tGVsYcWcuch1cIAu6xzMcnthWeNWb2dZKSfMmUU8VCos0P:WcWcuch1czBdZKSfMmUFCos0P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c875b239a71b9d22 |
|
VISUAL
aHash
|
fff70000000000ff |
|
VISUAL
dHash
|
1fa493d3c793d969 |
|
VISUAL
wHash
|
fffe7030000069ff |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
000000de564400a2,0000010000000000,814a751918260880,a481f3c78793d9c9 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.