Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194A37933411975274437C6D030A95B3BD2A69E5FFDA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:nLz4NP/y9svbliCdwDAKE5iS6o6IasFtSuCa2FG2Ao:LmA65itT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c35af53e9c2c8c43 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
88c8c0cacde7cecc |
|
VISUAL
wHash
|
40ec78082e3727ff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480810018108080,8cc8c0c2c8cde7ce |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.