Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5234B726722B47843DB91EEF73C2D56B2D1489DF8CB4450B5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a7nX+EsZx8/G8m4Q0DawfM2BIw+M2BxCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKN:a7nX+EsZ/8BQ0DawfM2BIw+M2BkN2/yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3fc0c0c03b30 |
|
VISUAL
aHash
|
010101ffffffffff |
|
VISUAL
dHash
|
7f73777d30510000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
7f73777d30510000,fffff9f9fff7f7ff |
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.