Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FA35733411935274437C6D530A95B3BD2A69D4FFEA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
3072:HxB2o+J+ASbr5EmADTInFMinlB28b3GDHlN:HxB2o+J+ASbr5uTWFMinlB28b3GDHlN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343bc3c9c29e363 |
|
VISUAL
aHash
|
00202000000000ff |
|
VISUAL
dHash
|
9cccc8c0c8cfc79e |
|
VISUAL
wHash
|
40fc7078262707ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
808081103000a080,9cccc8c2e8ccc747 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.