Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F532CAB2E148440A3366D7C1EEA6EFCC527BC501C7010A69E2B5215BB7DEDF9D4B2390 |
|
CONTENT
ssdeep
|
192:SSGSiSpJFIc4Iyl4jBU1mCNKB+T+EU1K9uYF9QtDzsTddPVII:SSGSiSpoQywU1mCNzoK9Tw8Tddtr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8348e2e298377d1f |
|
VISUAL
aHash
|
0000000e3fffe7ff |
|
VISUAL
dHash
|
81e370fcf8cccece |
|
VISUAL
wHash
|
0000001e3fffe7ff |
|
VISUAL
colorHash
|
030020001c0 |
|
VISUAL
cropResistant
|
a560bba327dbcfe4,70f0fcf8cccececa,a083e570fcf8f8e8 |
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.