Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE63637242867E3F3083C6E28359E32AD386E609D7674956E7E8431B27C7DE0ED351A4 |
|
CONTENT
ssdeep
|
1536:MbviDmQupIDcBO0qSmgCfyx0hioy3S01Cx8RQ8hN:M9rGh0f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e841a3bc376cb4b1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8ed393331c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
9154569b8b2b4340,38789d9c8c8c8d8f,3139ddcd4a5a2464,82a28a969696a882,c53a382327400f0e,968fe9d3832b3397 |
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)