Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12CA38A33411935274437C6D430A95B3BD2A7DA5FFAA70A010EECD7EA2BFACA0745711A |
|
CONTENT
ssdeep
|
1536:KVZ8xmU1vLz4NP/y9svbliCdglCHCoHDFtiuCa28y2O9:VmArQo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d069c502 |
|
VISUAL
aHash
|
00002000040000ff |
|
VISUAL
dHash
|
1c49c3c3cccc36a8 |
|
VISUAL
wHash
|
c0ff71300e003eff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
080180815c588090,1c49cbc3c9ccc434 |
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.