Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EA37A33411935274437C6D530A95B3BD2A69A5FFAE70A010EECD7EB1BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:fBJPQ91v1CLz4NP/y9svbliCduXzCoNEFtiuCa28y2O9:p1mAjXxH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976afd369269a412 |
|
VISUAL
aHash
|
00000000040000ff |
|
VISUAL
dHash
|
1c49c3e3ccc4d1d8 |
|
VISUAL
wHash
|
c0fd71300e007eff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
d100c08018588090,1449c3c3e9ccc6f8 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.