Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A73927311526A3F208382D5831CE76EE386DA49D7A34A4BD7E8831B27D7DE0ED351A4 |
|
CONTENT
ssdeep
|
1536:UJM0c/sDcOp0A4WB27vyM03JG+Prgb0dxVuz8TA:tOHA8rZHA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e840869e366eb6b6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ccd383131433271c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,3612d3cbea4dcd4b,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,8512382727000706,84ebe9d38b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)