Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19DA37933411975274437C6D430A95B3BE2E69A5FF9A70A010EECD7EA2BFAC90744B11A |
|
CONTENT
ssdeep
|
1536:Gg343Lz4NP/y9svbliCdwSrWuFtiuCa2CG2ZE:QmAMi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c373b8389d2dc546 |
|
VISUAL
aHash
|
00007000000000ff |
|
VISUAL
dHash
|
0808c4c8c8ccc7be |
|
VISUAL
wHash
|
c0ecf8603c3603ff |
|
VISUAL
colorHash
|
30e00008000 |
|
VISUAL
cropResistant
|
0180811058808000,cc08c0c0c8ccc4c7 |
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.