Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDA1B62642160E5F4443C2F9FBE6B115D09E8245C71FAA8CB7DC43AE36D7CD2D9A12A8 |
|
CONTENT
ssdeep
|
48:TFjQLO513eP13j61jweAdHkvHvQ+3999V9AMc6pGK+tfe3iUd9LF++PvKdhAIKIP:TpesikXIEvHvR9PAMcnifLpC0Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc993366cc993366 |
|
VISUAL
aHash
|
0000001818000000 |
|
VISUAL
dHash
|
100830b2b2300810 |
|
VISUAL
wHash
|
0c0c243c3c2c0000 |
|
VISUAL
colorHash
|
38000018600 |
|
VISUAL
cropResistant
|
aa4d4d3a8c3333b2,100830b2b2300810 |
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)