Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4732022284E152FB157D3C192F4FAA7DE51CD0ACE700E41EAA9DFCECA91F11B675218 |
|
CONTENT
ssdeep
|
768:YhfpMSt4VUjDVtZPXPv1Nvi26e82KgkknqIU7gAS2+jb7:UpR4Vub7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d7d6286c03973e83 |
|
VISUAL
aHash
|
00f4ff7e60002c00 |
|
VISUAL
dHash
|
c4844c48c826d81b |
|
VISUAL
wHash
|
04f7fffe6c003c01 |
|
VISUAL
colorHash
|
30200030000 |
|
VISUAL
cropResistant
|
c1e0c062ecd8dcbc,38383466e4ccaa9a,cea6b49496565252,e6663672e0c80898,c084641b322236c0,c4844c48c826d81b |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)