Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117D26372B184263B42A7C2D9B320772EB2D2428DEBD6191293FD435E1FE7D10CE63466 |
|
CONTENT
ssdeep
|
384:Ye/GLIUciRwsvtbLdAEwAZFuchXCfr3gMzOc8Q2Xo9gIYsOy2+y9BH4cCUIe:Ye/GLIm7zxSjbIYy7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c372fc389869c5c3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c0cc8c9cdcd8300 |
|
VISUAL
wHash
|
00e4f0203705ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0cc8c8c9cdcd03 |
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.