Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0234AB26722B8A843DB91EEB73C3D56B2D1489DF8C74414F5C95A8E23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:ac+EsZx8/G8o49DawKMjBdwvMjBECN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5I:ac+EsZ/8b9DawKMjBdwvMjBRN2/y9dGC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3e6b6f2b909084 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
4971203707040000 |
|
VISUAL
wHash
|
0000838581ffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
4971203707040000,000000100c32300c |
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.