Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1325177638108DD3B9260C0D8E570636C5ACD828E97470B59D6EC437D31DA5FACC2EDC4 |
|
CONTENT
ssdeep
|
48:9ojk6lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:9IRdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f7898927768cdc22 |
|
VISUAL
aHash
|
fcfcf8f8e4f0e0c0 |
|
VISUAL
dHash
|
0000103008000000 |
|
VISUAL
wHash
|
fcf8f8f8e0e0e0c0 |
|
VISUAL
colorHash
|
07002008080 |
|
VISUAL
cropResistant
|
0000103008000000 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.