Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184D26171A194273F42A7D2CDB3216B2EB2E2838DDB9B591153F943AD1BE3E14DD13026 |
|
CONTENT
ssdeep
|
384:ye/GLOeUiRsWEDODC7OrAdwSiO55W2arWgV4tCMqV8/OqOmsIYsOy2+y9BH4cUUl:ye/GLOXdwCJ4kXOp7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c672f8388d4dc5c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
940cc8c9fdcd8b00 |
|
VISUAL
wHash
|
00c4f0701507ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,900cc8c8c1cdcd4b |
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.