Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191234A726332B87843DB92DEE7382956B2D2589DF8C74414F5C95ACE23C3C816287BB4 |
|
CONTENT
ssdeep
|
768:ag+EsZx8/G8B4uDawsMLBMwPMLBSUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtAZ:ag+EsZ/8yuDawsMLBMwPMLBSUXx+y9d9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee3a3a6f2e283425 |
|
VISUAL
aHash
|
00fdfffff3d3f3f7 |
|
VISUAL
dHash
|
7149002727272727 |
|
VISUAL
wHash
|
00a1ff9f9381d197 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
7149002727272727,100830b2b2320c10 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.