Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E434CE83751F2255A7342E740AF3416733D752B2C1C09A0B229E9D9E6B44EAB067FC9 |
|
CONTENT
ssdeep
|
768:FWImp4YjlGyPdAI/O+TpiNGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:gImpiy1AI/Vpqzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b12d8e8e64319b8f |
|
VISUAL
aHash
|
ffffc3c3c3ffefef |
|
VISUAL
dHash
|
4e2096968e181e0e |
|
VISUAL
wHash
|
00dfc3c3c3c3c7c3 |
|
VISUAL
colorHash
|
07c00000008 |
|
VISUAL
cropResistant
|
4e2096968e181e0e,bc3ebab17134d696 |
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.