Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17123703831B9577B18D387B273A56B2EA3D5C789CB239B0AA3E8D3860BC7C55CD41215 |
|
CONTENT
ssdeep
|
768:/2hCKuGpecKhD5QAl5pn1wZSIkZ/jtlfmJqWPdv/jNsRxtYs8vXu75KpNNxFrbfQ:/2gXGpecWQAl57fmJOWozP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
90b0496f6e9c9787 |
|
VISUAL
aHash
|
006e6ece00000076 |
|
VISUAL
dHash
|
aa949c9c9533b0ac |
|
VISUAL
wHash
|
026e6eceff08107e |
|
VISUAL
colorHash
|
30408008080 |
|
VISUAL
cropResistant
|
7dfcf0a2cc494963,aa949c9c9533b0ac |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)