Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F303C9328082693762C383C8E67AE75DF3C68349DD1A5A5182E4D36F09E7FC1EC5652E |
|
CONTENT
ssdeep
|
768:9f6cRIm4441zBPoROQ8V1wkgMpxAw7S9W/N1zJV:Acn4441zBAOwkgMpxAw7is3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89e0763a2b6f68a9 |
|
VISUAL
aHash
|
ffff7f3f1f080000 |
|
VISUAL
dHash
|
3fbce2f37abaffff |
|
VISUAL
wHash
|
ffff7f3b0b020000 |
|
VISUAL
colorHash
|
060c3000000 |
|
VISUAL
cropResistant
|
3fbce2f37bfafa3f,e2f37bfafafbbfff |
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.