Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6326533A600DD2A8D9B5588F6C09688425EC349FB314CCAB16491FF7BC8DF169A939D |
|
CONTENT
ssdeep
|
192:YwEOfoYcTcCd8aLSxbEMcnthWeNWbdAsI1hfMmUU8VCo++:YzWcTcCd8HZAsI1hfMmUFCo++ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7d654d4d055f245 |
|
VISUAL
aHash
|
feffffffffff0000 |
|
VISUAL
dHash
|
0c0c0c0c00096267 |
|
VISUAL
wHash
|
e4e7e7ffff000000 |
|
VISUAL
colorHash
|
0f0010000d0 |
|
VISUAL
cropResistant
|
0c0c0c0c00080004,4d45b9d9d9f15549,070d725666761d1f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.