Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174A37933411935274037C6D530A95B3BD2E69A5FFAA70A010EECD7EB1BF9CA0B44B15A |
|
CONTENT
ssdeep
|
1536:g9ZjgSvcRLz4NP/y9svbliCdNRVCo+tFtiuCa28y2O9:JmAO8e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d16d8402 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1c49c3c3cccc36a8 |
|
VISUAL
wHash
|
c0fd71300c063eff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
100180815c588090,1449c3e3cbcccc36 |
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.