Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195A37A33411935274437C6D130A55B3BE2E69E5FFA970A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:2PmeTQXLz4NP3+mZY9svblTOCVrqvSY8fN2aa3YGMTRQAEL:XLz4NP/y9svbliCd124O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361e9361d6d90c5 |
|
VISUAL
aHash
|
006478202e0e797e |
|
VISUAL
dHash
|
98ccc4caecccc3d4 |
|
VISUAL
wHash
|
00647838260effff |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
04324c4c4c4c2008,98ccc4caecccc3d4 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)