Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C7396746845FD3FA1878AD5A172532AB2E68344CE138685BEF4C3F94BCAC9DCF62054 |
|
CONTENT
ssdeep
|
1536:JIwZBe4MD8EF8F2v8BvhUv1Fvylv6jvl3oYzwQ+e8VRcm+vsIxMh7ycM6v5/EJ3:LZBLMD828F2v8BvhUv1Fvylv6jvlrwQP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86f6394d5c143c67 |
|
VISUAL
aHash
|
00ffff2430302101 |
|
VISUAL
dHash
|
e4cdccecc5e5cba3 |
|
VISUAL
wHash
|
02ffff2e70352901 |
|
VISUAL
colorHash
|
0f200030000 |
|
VISUAL
cropResistant
|
cdcdcdecc8e565d8,08cbca0808cb084a,e26066c7f6bc8eb3,c4d4efefc5cdc9ca,cdececc8e5d9eba3 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.