Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180234B72A332B87883DB91EEF7382E46B2D2949DF8C74550B5C85A8D13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:a6+EsZx8/G8leRF4mDaw7MIB/w9MIB9Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDE:a6+EsZ/8lwOmDaw7MIB/w9MIB9UXx+yZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e03f9e708fc0c09f |
|
VISUAL
aHash
|
000000400040ffff |
|
VISUAL
dHash
|
aebeaf8b8b8e8d00 |
|
VISUAL
wHash
|
ff00016101e0ffff |
|
VISUAL
colorHash
|
1a000000188 |
|
VISUAL
cropResistant
|
08000c0c0c000404,8280c08f9baa80a2,12080c0008000000,aeae8ea38b8b8e8d |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.