Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD224023B600CD2A4D9B56CCF6C0A989411DC345FB3148CA71A491FFBBD4DF069997AE |
|
CONTENT
ssdeep
|
192:56SZ3J8djndWwsbpxUMcnthWeNWbExofMmUU8VCowu8IgQy:kS0jdWpUxofMmUFCowu8IgQy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e723cd8c769a9898 |
|
VISUAL
aHash
|
e7e3ffe7e7fff7ff |
|
VISUAL
dHash
|
0e4e104d0c000c00 |
|
VISUAL
wHash
|
20002424cfcfe7fe |
|
VISUAL
colorHash
|
070000300c0 |
|
VISUAL
cropResistant
|
0e4e104d0c000c00 |
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.