Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C502A513F21C72240B4303F95A6626FDEB2306ACD3A18B94B1FD9108B151AE887F76D9 |
|
CONTENT
ssdeep
|
192:7B+TPvwT0etuWKiuwQ4hlcDgO+NoE4mWYwd4pON1r:7o7vwT0etuWqw5lmB+N340wr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a420dbdb0fd3d3c0 |
|
VISUAL
aHash
|
0703430303ffffff |
|
VISUAL
dHash
|
9e9696cee6f6fd76 |
|
VISUAL
wHash
|
03030303033fffff |
|
VISUAL
colorHash
|
07238008000 |
|
VISUAL
cropResistant
|
9e9696cee6f6fd76,ccce4c4cbabef060,9dffffdefefffbfe,ecf1b193754c8824 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.