Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2430AF93D99B5520B7340D3A1AF354BB33A646F790C19A0B054CEE574F84A9602BF8E |
|
CONTENT
ssdeep
|
768:lyWu/Pu5/uWyCSfNw8n+Ds11sZLZLFGQ1cPZ6/C9W5XzqzAX8AA6ub/SxHyOzxHM:qayOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f56d0c25372170f |
|
VISUAL
aHash
|
fcbf0f073f3fdf0f |
|
VISUAL
dHash
|
cc707a1c78601030 |
|
VISUAL
wHash
|
7c7f0f070f3f0000 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
cc707a1c78601030,45452398c4e45945 |
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 702 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)