Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F234A726322B86843DB91EEF7393D46B2D55889F8CB4414F5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aT+EsZx8/G864UDatFM7BxtfM7Bv7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvts:aT+EsZ/89UDatFM7BxtfM7Bv7UXx+y9T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fc0e03dc0c247 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
5d7f6d73774f0c3b |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
5d7f6d73774f0c3b,a280c026368080b2,96ffffecedf3f3ef |
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.