Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166235B726722B8B843DB91EEF7382D56B2C1489DF8C74414B5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:agda+EsZx8/G8q4QjDawxM2BcwlM2B1wZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDN:agda+EsZ/8tQjDawxM2BcwlM2B1wcN2p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf2fd0d03fc0c027 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
1f7b4f6f4f7f0021 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
03001000180 |
|
VISUAL
cropResistant
|
1f7b4f6f4f7f0021,3f3bfb0f0f7b0f7f |
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.