Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F032B9B0A059A93F51A3E2C1B432175FA1D2870DEF4B964163F8C39CABD9EA4ED35025 |
|
CONTENT
ssdeep
|
192:55bPj70R7bvc3vYmvt1v6vPvRvMZ6Mv8uvd41W8z+Wl5CUuvSaot161kg9:5pPj702QmdZCe1KD4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cecdcccca6333322 |
|
VISUAL
aHash
|
1818183c3c3c3c3c |
|
VISUAL
dHash
|
7332696969696969 |
|
VISUAL
wHash
|
3d383c3c3c3c3c3c |
|
VISUAL
colorHash
|
38038000000 |
|
VISUAL
cropResistant
|
7332696969696969 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)