Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11622F2227048762707D253DEAE21A3ADE3938186DF261E4662E54B0F9FD6E41CD1346F |
|
CONTENT
ssdeep
|
96:v5LieDXDzjD1nQgIBYedYiDqP/5y4BN504DJP4T4likBw0AYIyp+qSAYIwAYIbjj:vUEXbjwyJp+qwpgf40fMUOi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6e61919cc664c73 |
|
VISUAL
aHash
|
ffffe7e7e7000000 |
|
VISUAL
dHash
|
a80c4c0c0d3010b2 |
|
VISUAL
wHash
|
e7ffe7e7e7000000 |
|
VISUAL
colorHash
|
1e001000280 |
|
VISUAL
cropResistant
|
0c0c4d4c0d0d4d0e,0000148c88868000,743c86c6a2816953,30b0301030b2b2b2 |
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.