Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107234AB26722B4A843DB91EEFB383956B2D5488DF8C74414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a6+EsZx8/G8K4pDawKMcBiw+McBRw9r82+/9dtZkDieE565TmHEnkvdhfVPqDv3A:a6+EsZ/8NpDawKMcBiw+McBRwh82+/9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfc84ac03c952db5 |
|
VISUAL
aHash
|
ffbd8f8f878faf81 |
|
VISUAL
dHash
|
55553b3d3f5d5d5d |
|
VISUAL
wHash
|
ff818f87878f8700 |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
55553b3d3f5d5d5d,1c01000000000000 |
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.