Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110234A726722B87843DB91EEE7382D56B2D6588DF8CB4414F5C95ACE23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:aZ+EsZx8/G8G4eDatQMmBJtNMmBTUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtA4:aZ+EsZ/8heDatQMmBJtNMmBTUXx+y9dM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf2b3ec4c03b19d0 |
|
VISUAL
aHash
|
81010181ffffffff |
|
VISUAL
dHash
|
717171510c2b0d35 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0f007000000 |
|
VISUAL
cropResistant
|
717171510c2b0d35,cff3b379f5b2b2cd |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.