Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BD2A87661107B3B0193C1C676616B2BA3E3474FE7860516A2FD83BD0BE2D14DE2772A |
|
CONTENT
ssdeep
|
768:/He5n2vRKqZRnr5XrltorX7sOy2+y9BH4cLIe:Sor5Lo77sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d305b434ad34e5a7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccc4c0c8cc8c00 |
|
VISUAL
wHash
|
027c74302064ffff |
|
VISUAL
colorHash
|
39010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccc4d0c0c8cc8c |
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.