Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9234B726722B8B843DB91EEE7383D56B2D2489DF8CB4414F5C95A8D23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aW+EsZx8/G8Y4xDaw8M2BqwmM2BrCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5I:aW+EsZ/8LxDaw8M2BqwmM2B+N2/y9dGC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be2f2fc0d0c0c766 |
|
VISUAL
aHash
|
810081ffffffffff |
|
VISUAL
dHash
|
71716d150f19172f |
|
VISUAL
wHash
|
000000ffc7ffc7cf |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
71716d150f19172f,7474925396da5aa5,cff3b3edf1ffefff |
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.