Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120F3E7E3423C147E26A787C95A28232D789AE04FDD580666D3BEC36812EFD9139735D3 |
|
CONTENT
ssdeep
|
1536:e+Or5IP3SQ+ZTbOS0Q8SryxLdqNGPiPfnNZPMUgA+cULZtbF1y:e7IP3Vmn0Qtm1d3oVRgA+cULZtbF1y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9686696db232b2d9 |
|
VISUAL
aHash
|
303c3c3c3c20183c |
|
VISUAL
dHash
|
c0e0ecede4c4d0f0 |
|
VISUAL
wHash
|
6c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
610d231f228ac4e8,c0e0ecede4c4d0f0 |
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 935 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)