Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0235B726332B4B883DB91DEF7382E46B2D6949DE8C74550B5C95ACD23C3C816287BB4 |
|
CONTENT
ssdeep
|
768:aTjE+EsZx8/G8sMRF4QWDawOMLB5wYMLBDUcix+y9dQpUDF1E56ITmHDLBABW8KZ:aTjE+EsZ/8s2OQWDawOMLB5wYMLBDUXZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6a9c2dc13f941a |
|
VISUAL
aHash
|
818181c1c18181ff |
|
VISUAL
dHash
|
054d4d19195f5d5d |
|
VISUAL
wHash
|
ff8185c1c18381ff |
|
VISUAL
colorHash
|
32001000180 |
|
VISUAL
cropResistant
|
054d4d19195f5d5d,5d4b5b2b6d7d1959,038c8c9a989e9efc |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.