Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163430CA93855B016477340E350BF2A8AB33A182FB91C55E1A174CBE571F84F5606BF4F |
|
CONTENT
ssdeep
|
768:hyWuPW5u/DsMX9cGCy/uvQb8n+HZfv1L/TWT6nX8UtseiThlwDjjDOPaLSoMRt6/:pNVfyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1313199998bcdcd |
|
VISUAL
aHash
|
c7c3c7e7efe7efef |
|
VISUAL
dHash
|
9e9e8f0d1e1c1c1c |
|
VISUAL
wHash
|
c3c3c3c7c3c3c3c2 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
9e9e8f0d1e1c1c1c,fc737dfdd7dbba9c |
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 694 techniques to evade detection by security scanners and make reverse engineering more difficult.