Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129324073B500CD2A4EAB66CCF2C49A48451EC345FB3158CAA1A480FF7BD4DF065997AE |
|
CONTENT
ssdeep
|
192:uOk5HoYcxcjchBg2J/mdsxPjMcnthWeNWbnfMmUU8VCo/:GcxcjchBgksfMmUFCo/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ccd227722772277 |
|
VISUAL
aHash
|
1818181818000001 |
|
VISUAL
dHash
|
b2b2b2b2b24d3001 |
|
VISUAL
wHash
|
3838383818000001 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
82b0b2b2a2b230c2,b2b2b2b2b24d3001 |
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.
Pages with identical visual appearance (based on perceptual hash)