Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186135196310466E5C2F38EC8981065942142EF5BC9718770C2FC4E3A67E39A6B78CF7E |
|
CONTENT
ssdeep
|
768:zOgWVRWM7KC4zyRRCBx5PChs4jY7yUjJoHbqw:zOhPkWM7Nw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81d225cdcabed3a1 |
|
VISUAL
aHash
|
ff7eeefc7c000303 |
|
VISUAL
dHash
|
c6c6cca1d1d30676 |
|
VISUAL
wHash
|
ff7e767c78000303 |
|
VISUAL
colorHash
|
16c01010000 |
|
VISUAL
cropResistant
|
c6c6caccc9a1d1d1,c9c8b0b088b18e8c,c6cecca1d1d31676 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.