Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B235B726732B8A843DB91EEB7382D56B2C2489DF8C74414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a0r8k+EsZx8/G8e4wDawXMqB9wzMqBkCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKN:a0r8k+EsZ/8JwDawXMqB9wzMqBxN2/yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c3c7c792c6c3 |
|
VISUAL
aHash
|
c3c3c3c3ffffffff |
|
VISUAL
dHash
|
1f1f171f55171d1d |
|
VISUAL
wHash
|
83818181c3dfdfc7 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1f1f171f55171d1d,ffffeef7f7feffff |
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.