Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167F2FD20E4549A230373C4C4B4356F1AB4D3F31FC52B4E15A6F857C9AFDACA1BE1A4A9 |
|
CONTENT
ssdeep
|
768:28K5d6y8K5dg+rwDOgtM+QNDDYpXIdy2A:28K5db8K5dHwDOgtM+QNDkpYdy2A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d62178c323d7923e |
|
VISUAL
aHash
|
00003c7e3c7e9c80 |
|
VISUAL
dHash
|
c81375cc4de06023 |
|
VISUAL
wHash
|
00007e7eff7ebc80 |
|
VISUAL
colorHash
|
16400030000 |
|
VISUAL
cropResistant
|
72928a9abae2e2e2,786cf0e0e0b0b2b4,c81375cc4de06023 |
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 165 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)