Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5234B726722B4A883DB91EEFB3C3D56B2D2988DF8C74450B5C95A8D13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aW+EsZx8/G8ARF4iDawJMSBpwPMSBUwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDv+:aW+EsZ/8KOiDawJMSBpwPMSBUw0N2/y5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf9c91c1f4d190c6 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
717971754d5d4d5d |
|
VISUAL
wHash
|
ff99998181adad81 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
717971754d5d4d5d,b3e9f1b3ccdcccee |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.