Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134A38933411935274437C6D530A95B3BD2E69A5FFAE70A010EECD7EA1BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:NI/PGDUAxVM1ThgLDsfboKC4SQrG3c1olPrf7U18Lz4NP/y9svbliCdjCin9MCo0:xmAOCS93X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd3294699403 |
|
VISUAL
aHash
|
00002000040038ff |
|
VISUAL
dHash
|
1c49c3c3ccecc3c8 |
|
VISUAL
wHash
|
c0ff71300e007cff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
c82080804c588090,144dc3c3c9eca4c9 |
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.