Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124B35DB5E184BE2304F780D27147AA47B739440AF60E4550B59DCACAB3DBCA741FB6E1 |
|
CONTENT
ssdeep
|
1536:CExIlXRRa43skBn06RszvWltJa3kkmZ5kkNfOOzQ2N0msQw:CExuR8mjd1pVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9616e561ed569616 |
|
VISUAL
aHash
|
201c3c3c303c00ff |
|
VISUAL
dHash
|
d4f0ecf4c0e0c074 |
|
VISUAL
wHash
|
203c3c3c3c383cff |
|
VISUAL
colorHash
|
0e600200000 |
|
VISUAL
cropResistant
|
32367c3a3e673727,52cc143535c03000,d4d06cf4c0c0e0c0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.