Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E234A726722B86843DB91EEF7382D16B2D6588DF8C74414F5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aS+EsZx8/G854KDawHMDB+wfMDB2wZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:aS+EsZ/86KDawHMDB+wfMDB2wZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be6e6d6b92c1c190 |
|
VISUAL
aHash
|
8181ffffffffffff |
|
VISUAL
dHash
|
2b23313d1d000000 |
|
VISUAL
wHash
|
8180808085ffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2b23313d1d000000,5dbfc3c3b7a3fff7 |
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.