Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114820170B0887A3B61C7D3C5F7266367A3DA8586D913822421F8435C9BD3DDBDDA3194 |
|
CONTENT
ssdeep
|
384:R2TxXd3GO+M805RbJU6fI/fJDFiLkKTxA93GO+M805B/fJDFiB:R6B1GO+M805RbJU6fIZzuqVGO+M805B6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92926d6d699296ce |
|
VISUAL
aHash
|
00243e6c20061e38 |
|
VISUAL
dHash
|
96cdedc9cb0cf4d0 |
|
VISUAL
wHash
|
047c7e7c04067e7e |
|
VISUAL
colorHash
|
380c8001200 |
|
VISUAL
cropResistant
|
f8ecd2ba7a668cc0,96cdedc9cb0cf4d0 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)