Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167A38933411935274437C6D130A95B3BD2A69A5FFAE70A010EECD7EB1BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:161M0Azv1pLz4NP/y9svbliCd5i9ozI7TFtiuCa28y2O9:QumAei9PY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd32d069c502 |
|
VISUAL
aHash
|
00002000040000ff |
|
VISUAL
dHash
|
1c49c3c3ccec36a8 |
|
VISUAL
wHash
|
c0ef71300e003fff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
c00180815c588090,14094bc3c9cce434 |
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.