Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AD10FEFD0793443130289E9FB42735CB5DF5B5E87D06980B2F60B4EB2AEF618561522 |
|
CONTENT
ssdeep
|
192:BhPGo2SpsoAeFeMEtey2mwmMtmBaraxtanaOCGtGAo6o+toOo2o2owON1r:BFGo2SplAIktB2pXtYuStS/CGtGAdrtk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece41b931ba41b93 |
|
VISUAL
aHash
|
fff3f3f3ffffff00 |
|
VISUAL
dHash
|
2606262606002b71 |
|
VISUAL
wHash
|
d3c3c3c3fbff0000 |
|
VISUAL
colorHash
|
06000000030 |
|
VISUAL
cropResistant
|
2606262606002b71,fefe71f8e869defc,00003432320c1000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.