Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFD2A532B010373F16DB93C97791F32EA2D35245E79A081582FD835E4BABD94D92362B |
|
CONTENT
ssdeep
|
384:KSFy5NSYFaw2DnK5DtsVps2VflgUUdsNLGDiIYsOy2+y9BH4ciUIe:KSFy5NSYFoDnRGpm7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343fc3a9c29c3c3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0808c4c0c84ccf00 |
|
VISUAL
wHash
|
00ecf0003c26ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,cc08ccc0e0cccccf |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.