Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB235BB26732B8B843DB91DEB7382915B2D2589DF8C74514F2C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aSERF+EsZx8/G8Z44DawfMLBAw5QMLB+Ucix+y9dQpUDF1E56ITmHDLBABW8KPqA:a5+EsZ/8a4DawfMLBAwKMLB+UXx+y9d9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af3f94d43e90c143 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
7171495551000000 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
1e002000e00 |
|
VISUAL
cropResistant
|
7171495551000000,7333d6c8e9d4d4d4 |
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.