Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9A3AC33425975270533C6D430B99B37E2A69E5FFAA70A000FECD7FA2BE9C90751611A |
|
CONTENT
ssdeep
|
768:iDLugj2GsgxZtsEJPlEmzkBq1WiJrxVExfyoeHI7ib:cLugj2GsmZtsEJPjQBq1Wixx2xqoeVb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf4444374ce1c8bb |
|
VISUAL
aHash
|
0000ffff0f0f0f0f |
|
VISUAL
dHash
|
c6e659585a58587a |
|
VISUAL
wHash
|
0000ffff0f0f0f0f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a480c480a4179617,58585a5a5a5a587c,468ad6c6c6337049,5a5a5a5a5a5a7878 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.