Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C2349726332B8A843DB91EEF7382946B2D6589DF8C74414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aA+EsZx8/G8R44DawEMJBgw9MJB8wZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:aA+EsZ/8C4DawEMJBgw9MJB8wZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba6b6f3bc19490c4 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
71713d1719151705 |
|
VISUAL
wHash
|
0000dfc3cfcfc3c7 |
|
VISUAL
colorHash
|
0e007000080 |
|
VISUAL
cropResistant
|
71713d1719151705,304cb2b26971320c |
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.