Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAE10A25A210D9A66107A6E5F350AB3A6263B1ACDF21CA54E7D24BD187D7FE80873092 |
|
CONTENT
ssdeep
|
192:VMsrh/jZuGQciqiozVJsQlH2ZcOOChAhaM/Kgq6UArgrqCEmPc2clH2ZcOOsm1+:esJVuGQctiozVJRlH22uhd2KgHdrgrpD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c91c633cc936f19c |
|
VISUAL
aHash
|
000018183c1800ff |
|
VISUAL
dHash
|
2870b270b25420d4 |
|
VISUAL
wHash
|
003c3c3c3c3c3cff |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
808080d0d0808080,2870b270b25420d4 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.