Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BED3A63052082E3D52674BE8F3A4737951AED298EA1B846C95BC13B26B87CCDFC37594 |
|
CONTENT
ssdeep
|
1536:WuyHVe4RznHpsrJSJbbbbzbbbb7bbbb8bbbbbHbbbbAbbbbkIHYpEh:oHvnHpaou5tpo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c73c3c949cb4c3 |
|
VISUAL
aHash
|
1e6460606c000800 |
|
VISUAL
dHash
|
f4c9c8c4c83868a0 |
|
VISUAL
wHash
|
7e7c7c7c7c083c10 |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
f4c9c8c4c83868a0 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.