Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D234A726332B86843DB91EEF7382E46B2D6588DF8C74554B5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:as+EsZx8/G89R4RDawXMLBUowPMLBUkwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:as+EsZ/89CRDawXMLB1wPMLBLwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83a6e6b632a2a3a |
|
VISUAL
aHash
|
00df8fcfeffbffff |
|
VISUAL
dHash
|
45323b171323162e |
|
VISUAL
wHash
|
009f838389d9c3ff |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
45323b171323162e,018a5646661a8101 |
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.