Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1753331306405EC3B01CB99D856329B26A1E58381CA63178AFAF5C3ED1BEFD59DE73124 |
|
CONTENT
ssdeep
|
768:51TLocDl2BC0wDrivQ5/azXQsusIx/jhE4SpUf7x:51TTl2NwDfQQsusIx9E4SO7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952cea4afab232e8 |
|
VISUAL
aHash
|
00000606163fffff |
|
VISUAL
dHash
|
6de2eeeceeeefe08 |
|
VISUAL
wHash
|
00000607567fffff |
|
VISUAL
colorHash
|
02190000000 |
|
VISUAL
cropResistant
|
28354b4d6d5a534d,e884b2b2968aa4c4,52cecc4ab2b3d949,b6be6a6b939393bd,2d374b4d6c52534d,ccececa6eceed20c,6de2e6ccecaedeee |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.