Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DA38933411935274437C6D130A55B3BE2E69A5FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:jSkZJ3hLz4NP3+mZY9svblTOCVr4hXLKwQq0PZ6FtiuCa28y2OZL:NhLz4NP/y9svbliCdzwfFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c64abd3bcd42c712 |
|
VISUAL
aHash
|
00003420000004ff |
|
VISUAL
dHash
|
c49cc4c0e0c8ccb0 |
|
VISUAL
wHash
|
00007e7c3830ffff |
|
VISUAL
colorHash
|
31000000418 |
|
VISUAL
cropResistant
|
0c008481303080a0,c41accc4c0c0c8cc |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)