Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184B3AA33411835274437C6D530B59B3BD2E69A5FF9A70A010EECD7EA2BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:i1uLz4NP/y9svbliCd0jskjXgEZFtiuCa28y2O9:TmADj0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c56d92686d3a |
|
VISUAL
aHash
|
3b1f8bcffff0f0fe |
|
VISUAL
dHash
|
e2b6363d2c261098 |
|
VISUAL
wHash
|
3b1f0387c7d080fe |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
e2b6363d2c261098 |
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.