Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120234A726732B86843DB92EEF7392D46B2D54889F8C74414F5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ah+EsZx8/G8c4fDat3MmBNotNMmBN2Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDv9:ah+EsZ/8nfDat3MmB6tNMmBkUXx+y9dM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be2b6fd090c0672e |
|
VISUAL
aHash
|
810000ffffffffff |
|
VISUAL
dHash
|
7171711d3e2f2125 |
|
VISUAL
wHash
|
0000008fdfc3ffff |
|
VISUAL
colorHash
|
0f007000000 |
|
VISUAL
cropResistant
|
7171711d3e2f2125,ffdfb3e9e971b3dd |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.