Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F234A726332B86843DB91EEF7382D56B2D64899F8C74414B5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a8+EsZx8/G8F4lDawwMJBtwgMJBDwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:a8+EsZ/8OlDawwMJBtwgMJBDwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af6890f1d4d4c5c5 |
|
VISUAL
aHash
|
85818181818181ad |
|
VISUAL
dHash
|
6d59656d4d4d5d6d |
|
VISUAL
wHash
|
ff81818181a58fbf |
|
VISUAL
colorHash
|
01006000040 |
|
VISUAL
cropResistant
|
6d59656d4d4d5d6d,dcd4c4c4ccccdcdc |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.