Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCF2223085D0212713270AC968A1EB2DB3E3D31CCF031559E3AADBAE5BCFDE59D1911A |
|
CONTENT
ssdeep
|
768:0FFn5jBjUQqAtFQ550m+9KvoLlrwuT+D0sfAB:q5jBjUFAtJD9KvoLlrwuT+DpfAB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b34c4c33ccccb3cc |
|
VISUAL
aHash
|
0000ffffefefffef |
|
VISUAL
dHash
|
c03014141c1a141c |
|
VISUAL
wHash
|
0000cfd7c7c7c7c7 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
8000d0c0000000b2,181414141e181c0c,0c30b2b28c900040 |
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 17284 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)