Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162234A726332B4A843DB91EEF7382E46B2D2988DF8C74554B5C95ACD23C3C816187BB4 |
|
CONTENT
ssdeep
|
768:ae+EsZx8/G8ALRF4tDawaMLBJwOMLBnwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:ae+EsZ/8AlOtDawaMLBJwOMLBnwZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eac29c956be1c03e |
|
VISUAL
aHash
|
ff81818181ff8181 |
|
VISUAL
dHash
|
2365455d491f3371 |
|
VISUAL
wHash
|
ff81f58181ff8181 |
|
VISUAL
colorHash
|
33000040006 |
|
VISUAL
cropResistant
|
2365455d491f3371,c6870580f034da5e,75acab8badb39b6d,116eee2e2eeec293,00000c2c2c010004,e0e4849496dcdd22,2000b2b232f000d4 |
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.