Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165D2B6316150EE3B809B93E8B7A4A767239293C5CA06134582FDC7FE4BF6CD0ED22565 |
|
CONTENT
ssdeep
|
384:ZtKY8p3jant9gBhVcpkMjS9fZEC6AFC/cnqfslX33Ghc1IgjeKQ:GantKBhVcpkMuAC6AFKFU2hoIueN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3f1367c34999664 |
|
VISUAL
aHash
|
06647e6c203c3836 |
|
VISUAL
dHash
|
d4ccc8d8c268e0e5 |
|
VISUAL
wHash
|
36767f6e203c183c |
|
VISUAL
colorHash
|
38230000040 |
|
VISUAL
cropResistant
|
d4ccc8d8c268e0e5 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.