Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED63B5A3939814FF196746C06A4533BFB39A804CDB5646C8A7E9C1AD93CFD943AF12C4 |
|
CONTENT
ssdeep
|
1536:7ZkocanGCsCsqr/Dxm5Xn90jRVVVVHKq2:7Z4ZCsa49U8q2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed38c3c33893c369 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
3b33333333232323 |
|
VISUAL
wHash
|
8181818181f3ffff |
|
VISUAL
colorHash
|
16000000006 |
|
VISUAL
cropResistant
|
3b33333333232323,0111033818435101,3230b23268b2b2a0,0000044424c40400,0402128212020204 |
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 984 techniques to evade detection by security scanners and make reverse engineering more difficult.