Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD72D9B7111462EB510357E9E4332778628B66BAEB92D5DAD2B4CF41DFEACC4CC4043A |
|
CONTENT
ssdeep
|
384:ITgch2hMNBXELiy/Y+nPacL31iGOkLJQvlfhnbdbgn:ITg3haZELk+Cuy7bgn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd8c3c66323363b3 |
|
VISUAL
aHash
|
18183818183c3c3c |
|
VISUAL
dHash
|
3232707070617161 |
|
VISUAL
wHash
|
383c3c183c3c3c3c |
|
VISUAL
colorHash
|
380020001c0 |
|
VISUAL
cropResistant
|
3232707070617161 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)