Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7435A73A362787C83CB82DDB7392E45B2C6A58DE9870490F19866ED23C3C9175877B4 |
|
CONTENT
ssdeep
|
1536:auWm+EsZ/8xeF0OsDTEe+t7M7BPtGM7BNUXx+y9dQyDF1ZAU84HaXwPwM:auWz51tgtRUXxpDzHyyN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba2ecd7ae1a2d281 |
|
VISUAL
aHash
|
818185858585ffff |
|
VISUAL
dHash
|
61296d4d4d4d2d00 |
|
VISUAL
wHash
|
818185858585ffff |
|
VISUAL
colorHash
|
06e08000000 |
|
VISUAL
cropResistant
|
61296d4d4d4d2d00,146a6a90e4789c2e,8496828082c0d8fc,d8f67dd4b434989b,91d3aca1a1231606,11a889b8b889a8f3,40606ccc8c8c8c6c |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.