Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0235B726332B4B883DB91EEF7382946B2D5589DF8C74410B5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:az+EsZx8/G8n4vDatgM7BvtcM7BtUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtA3:az+EsZ/84vDatgM7BvtcM7BtUXx+y9dj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3be4996ec18332 |
|
VISUAL
aHash
|
8181858585fff7f3 |
|
VISUAL
dHash
|
2749494949390626 |
|
VISUAL
wHash
|
8181858585ffd3f3 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
2749494949390626,66b2b39234dc8c8a,2a9acaa9d0202080,aa18cccccc8c8c6c,fbfbffffffffffff |
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.