Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0424033B500CD2A4D9B56DCF2C09A89015ED346FB3248CAA1A491BF7BC4DF069997DD |
|
CONTENT
ssdeep
|
192:943JsYc+cschaanEa8Bas1xzwV1hTioGMcnthWeNWbpfMmUU8VCoT:mc+cschacEFG1hTi6fMmUFCoT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2f7a274a2762276 |
|
VISUAL
aHash
|
ffffe700000000ff |
|
VISUAL
dHash
|
4d1a4c3008000001 |
|
VISUAL
wHash
|
ffffe710000000ff |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
4c4db24d0c300000,0000000001000101,4923a9c9d9554941,45655151514d4100,0000000000000000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.