Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130C1EE1B31F418AD51B38AECC2663E18209AF74AD50C59D050EADA7C4FC7DF5BA1A4EC |
|
CONTENT
ssdeep
|
96:tLuUWSYTOatHm00rFYOTQrsMjr3xKm0mgVRE1xpVob1:uaaobXYTBDDFE1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c863229daa7788dd |
|
VISUAL
aHash
|
e1e05818181a0607 |
|
VISUAL
dHash
|
899192b2b2b24e0d |
|
VISUAL
wHash
|
e1f0f8581a1f0f0f |
|
VISUAL
colorHash
|
38207000000 |
|
VISUAL
cropResistant
|
8821104d4d089108,899192b2b2b24e0d |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.