Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C54D7F3F1712833526F41D98569368E78D2E2CADE8145E4A3F8837C9BE1CD1B64269C |
|
CONTENT
ssdeep
|
1536:zEn7Pk2P/xP/2KRZzuy4XmLGzFCewQLS7VWLzFgODNu6Ls7JwESzF20dgAr/V67n:zE1J4CedEEVBdKIpSkN+n0WvkoLjUi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e963941e14967a6b |
|
VISUAL
aHash
|
10c3c1c3c181ffdf |
|
VISUAL
dHash
|
741b1b9f1b332436 |
|
VISUAL
wHash
|
00c3c1c3c181ffff |
|
VISUAL
colorHash
|
06001018080 |
|
VISUAL
cropResistant
|
371b1b9f1b332436,325255d594ca6be0,8ad8d81408b2b20c,3e2c34362d2cb4f0 |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.