Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133F32AFD23205EDA00C783F5BF24A2E8B69BD66ECA534D46D2FC8B1521C1CBC9E19585 |
|
CONTENT
ssdeep
|
1536:Px6uf7FNgpd0A1TOa4Lhe0Wi5I8SzGVuNyF1bSBsLncRxx0V3aQJNN55I8SzGVuF:bHNzm0Mb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d279689c399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6507ccdccccc17cc |
|
VISUAL
wHash
|
0000fefe7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6507ccdccccc17cc,c2c66521c6444c09,4525416969690145,01514d4d4d714941 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)