Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197234A726322B8B843DB91DEF7382946B2D5989DF8CB4454F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:ad+EsZx8/G8B4HDawQMLBFw5XMLBbwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:ad+EsZ/8yHDawQMLBFw5XMLBbwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e91c56ec49119 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
71617171710c0000 |
|
VISUAL
wHash
|
8181810081ffffff |
|
VISUAL
colorHash
|
1e007000400 |
|
VISUAL
cropResistant
|
71617171710c0000,32c0e0f0f0e0f0f0 |
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.