Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103534DE93B51F2255A7301E741AF7406333D752B284C0990F26CE9DAE5B44EAB05BFC9 |
|
CONTENT
ssdeep
|
768:Fr2YjlDy4dSWhpZgq34TpipGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:Zdy4dSYpZgqipwzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b18f8f0f07332726 |
|
VISUAL
aHash
|
a7dfc3c7c3c7c7c7 |
|
VISUAL
dHash
|
4e101e1e061e1c1e |
|
VISUAL
wHash
|
00dfc3c3c3c7c3c3 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
4e101e1e061e1c1e |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.