Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4B30E234269762A4437C3D1306A5B3BD1A6D98FFAE70A000EDCC7F76BF9C90745A529 |
|
CONTENT
ssdeep
|
1536:ictpR4nXBKpSpFl26vxSZCSbTjqxkmIEICvS:3UMxPGxkNMvS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926d6d13136c6d69 |
|
VISUAL
aHash
|
001f033e7f0f0103 |
|
VISUAL
dHash
|
ddbd37dcdcdcbb77 |
|
VISUAL
wHash
|
000f033f7f0f0f8f |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
f96bfdf8b8f96b4b,ddbd37dcdcdcbb77,5ddd666868680959,324950c2737375cb,2e878b41a7a78e49,f8010533330d1124 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.