Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0F29431A2559E3B44A7D2E5E3A5632B32D2938AC946034583FC83BD0FEBD84FD26954 |
|
CONTENT
ssdeep
|
768:ubdvZarxhU//IppubqRPxA3w4A2C0Bxtkto/m+6ohB:ubdvv//Ipkxtkto/mha |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e2ac3ea5e2a516a |
|
VISUAL
aHash
|
991f8f9f91f9fffe |
|
VISUAL
dHash
|
29343d3b35c3012c |
|
VISUAL
wHash
|
9d0f070d00b0ffde |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
29343d3b35c3012c |
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.