Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143638572128AAE3F218342D18359D75AE3C2D609E7678956FBE8432F23C7DE0DD35264 |
|
CONTENT
ssdeep
|
1536:EZxZIltJ2Zl1FzUXwXGPG3IVsatLnx4EGMXxl3caeIisapFui8AG5ORvqMA+Nvw3:Ev+ltJ2Zl1FzUXwXGPG3IVsatLnWEGMh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2416d2e96d497b9 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
c493ccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc234c0c,968be193d0c8dcd4,4551657171694541,00454d7171414541,61999922d99b8764 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)