Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18192EF10A2D4BC3B91A381DCE2AE771A31E74242C61519C599F9C2E90B93F17FE376B4 |
|
CONTENT
ssdeep
|
384:JgUxiJKA3DqCbsu5pEDsmLsXnBgqXesdtP9MZOvA5dzg:JwTqCY+7mI3ruvg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83147474f47474d |
|
VISUAL
aHash
|
00cfcfdfdfdfdfdf |
|
VISUAL
dHash
|
9918183c303c2c3c |
|
VISUAL
wHash
|
0081c7c7cfc7c3d3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
18181c3c303c2c3c,2040d04d4d4cd200 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)