Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196B31771F194303390174FE8F938EE89B273F65ACF492656A6E4577026C7C71780AAAC |
|
CONTENT
ssdeep
|
1536:YX9cWQ7/lWQ2xfGXBTyQ7t3qFpgCW9sV9gpijcOMOgO8OEOoOMOIOMOFrj4:SaWQ7/sQhTyQ7tygCW9s8p0/4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6666652d9d9d888 |
|
VISUAL
aHash
|
e4c3e7ffffe7ffff |
|
VISUAL
dHash
|
4d4d4d3a0c4d5a48 |
|
VISUAL
wHash
|
00c0c3c3d8c0ece4 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
4d4d4d3a0c4d5a48,0606c08000c00080 |
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 17320 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)