Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122D2A531A0142A3B4297C3C9B362732FA2E2D2C9CB86590956FCC35D4BD6E90DD73956 |
|
CONTENT
ssdeep
|
768:Ily5N0u7r1ABxVdnH19Kal7sOy2+y9BH4cLIe:N12V1H197l7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d260fd33b943c0ce |
|
VISUAL
aHash
|
000034000000ffff |
|
VISUAL
dHash
|
8c8ccccccccccc00 |
|
VISUAL
wHash
|
00c6fe440424ffff |
|
VISUAL
colorHash
|
1a000640200 |
|
VISUAL
cropResistant
|
4880800458988000,8c8cccc4cceccccc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.