Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6234A726722B4A843DB91EEF7383D56B2D1489DF8CB4410F5C95A8E23C3C906297BB4 |
|
CONTENT
ssdeep
|
768:a7+EsZx8/G8w4RDawhMqB+MwDMqB+FCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:a7+EsZ/8TRDawhMqB9wDMqBxN2/y9dGC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83ac7c7c7cc9830 |
|
VISUAL
aHash
|
9d8d8d8181ffffff |
|
VISUAL
dHash
|
2939393507000000 |
|
VISUAL
wHash
|
810c0c0081ffffff |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
2939393507000000 |
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.