Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E328333A600DC2A4E9B568CF2C49988415DD34AFB314CCAB1A490FF7BC5DF169993AD |
|
CONTENT
ssdeep
|
192:+I3JUd+8juJUmpdewpswxLAMcnthWeNWbnfMmUU8VCoeKO:S+8juJUmWwbfMmUFCoeKO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99dd267132668973 |
|
VISUAL
aHash
|
003c3c3c1c3c0000 |
|
VISUAL
dHash
|
0471717171f3728d |
|
VISUAL
wHash
|
f8fcfc7c3c3c1800 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
a2e0e2ea8232b2e8,0471717171f3728d |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.