Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B7363725242AA3F108342D1931CEB5AD382D609C7F749C69BEC832F77C6DA5ED39264 |
|
CONTENT
ssdeep
|
1536:gnsC69KDc6l0z4MluR7ye0cvGs7rr2d0MxVuz8zl:7vbrMrpql |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d6b6b0 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
8493c8d0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc236686,8483f3cbc4c8dcd4,4561417971690141,17496969696995a5,00454d7171414541,b2e24da9ac8c0a08 |
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)