Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A234A726722B4A843DB91EEE73C2D56B2D2489DF8C74410F5C95ACE13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a3+EsZx8/G8S42DawOMSB9wRMSBwqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5d:a3+EsZ/8l2DawOMSB9wRMSBxN2/y9dGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef2f90c16b90943e |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
6155716171000400 |
|
VISUAL
wHash
|
8180808181ffffff |
|
VISUAL
colorHash
|
1e006000040 |
|
VISUAL
cropResistant
|
6155716171000400,b2f0d4b0e8e0f0f0 |
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.