Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAA2363C15005FAF8587D2B036E8671D91D9D7D8CEE78B0AF3E5426A9B8FC41DA40297 |
|
CONTENT
ssdeep
|
384:uiGwTZRUd/NM8XmFisSWdpyyMfdE/9nBCD6nunldOEVGnKhHr6/CgAz7g3mnxgYG:uihTZRUd/NM8XmFisSWdpylFOMnlYEUn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93131abcacec49e3 |
|
VISUAL
aHash
|
00000087ffffffff |
|
VISUAL
dHash
|
69ccc82d0c162b2b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
070000000d8 |
|
VISUAL
cropResistant
|
8679696b69799a49,f9a1a424a5f2f3f2,7630cda5e6255ddc,8a88eacee52b888a,090c161640422b2b,39ccdcdcc8c839c9 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)