Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187A38933411975274437C6D530A95B3BE2E69E4FF9A70A010EECD7EA2BFAC90744B11A |
|
CONTENT
ssdeep
|
1536:UrRFCLz4NP/y9svbliCdwE1FtSuCa2eG2Ao:bmAox |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c373fc289c2cc743 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1808c8c8c8cd2fb6 |
|
VISUAL
wHash
|
c0eef0207c2703ff |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
0080813030808000,8c08c8c8c8ccdd0f |
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.