Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121E2C4319048693F06A773C0F7B1E35BA29543C9EA43876A42FDC74D0BDAC90ED179A9 |
|
CONTENT
ssdeep
|
384:YsfIIViAIIIII9slBV6Gle1/lUuY2zL2POQCuvefbpW:NfIIbIIIII+I1/Kr2zL2POM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3711c1c3963d6 |
|
VISUAL
aHash
|
00e3e7ff7f181810 |
|
VISUAL
dHash
|
97cfcff3e5f3f0f0 |
|
VISUAL
wHash
|
00e1ffff7f181810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0000606868400000,97cfcff3e5f3f0f0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)