Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C032374E241266B234343A76071F77EE1B1949FCA73E899F1BD41C2A35EDD584132E8 |
|
CONTENT
ssdeep
|
768:CVlrRC29vYY41g9jtx8AB1B2uoWjb8ZaD3D542AwuzuIsQVttGZzLwyvGcy0GhTG:C21Wzjxg0vyHEvOS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ffb148914ac546c7 |
|
VISUAL
aHash
|
ff8fa7a7afeff9f0 |
|
VISUAL
dHash
|
1b386b6b6b28a323 |
|
VISUAL
wHash
|
fd8f83a1adaf0000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1b386b6b6b28a323,61d0d8c4d4d0d0d0,49212521c1010131 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.