Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A53453C63C15B3950C787F2E594AF29D29CCBD9DB27AE8BF2ACD2471686C458F41260 |
|
CONTENT
ssdeep
|
768:Rn2Ff4qbYHbfXHwo4xBg282+Wx1v3PZNGEWbSlHPef2a:GfNbdrx1v3P2EWbV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9abd0b2c0ead2f2 |
|
VISUAL
aHash
|
ff0b0b1303030100 |
|
VISUAL
dHash
|
dbd7d3d3d7d79b90 |
|
VISUAL
wHash
|
ff1b1b3b1303035a |
|
VISUAL
colorHash
|
07600008040 |
|
VISUAL
cropResistant
|
dbdfd3d3d3d7d7b3,2040838b73a36393,dfd3d3d3d7d39a90 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)