Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E013B8306809DD3B01DB9AC45632176A62F6834ACA230689FBF5C7AA5BDFC1DDD37211 |
|
CONTENT
ssdeep
|
768:K+1sIx/jwE7Uxox048U4j4Rx7Uxox0uAzScCtAXJUf7qQ:KqsIxMEAxox04h4j4RxAxox0B1e7qQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3c33c2ce5c29b43 |
|
VISUAL
aHash
|
666c7c6c60000080 |
|
VISUAL
dHash
|
d4c8c9c9c834c058 |
|
VISUAL
wHash
|
ff6c7c7c6408248e |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
4511492d138eccf0,a2824d3b337009a2,d4c8c9c9c834c058 |
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 79 techniques to evade detection by security scanners and make reverse engineering more difficult.