Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103A307B2D314783B410387CCF996A3A161DF42AFDB220B44D37CD7BABB96D985826C45 |
|
CONTENT
ssdeep
|
1536:Yn89eIv9XTeLdkBPpYJkJoJYXJjlkJAJ1p4pOBtdjYeIXz2dkIYCsAiDH1eoHFMk:YnKNi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed93ce6c82c6392c |
|
VISUAL
aHash
|
ffffefffc3c313b3 |
|
VISUAL
dHash
|
239c1e4d96967677 |
|
VISUAL
wHash
|
ffffefe701000011 |
|
VISUAL
colorHash
|
07002c00000 |
|
VISUAL
cropResistant
|
239c1e4d96967677,0f4a4441467c7c45,46c670cbb3268985 |
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 66 techniques to evade detection by security scanners and make reverse engineering more difficult.