Month: February 2020

Tools for Malware Analysis

As there are a running campaign to send malware by mail disguised as invoice or price enquiry, I’d like to have some clue on what those malwares are suppose to do.

I will update the article with what I learn about the process of analysing reverse engineering malware.

The first step is to list the tools, and secure malware handling practice.

Regarding malware handling, I recall you shall handle them in virtual environment but I’d like to read more about it before I attempt anything on that line.

Step 1 – the tools

Virtual machine:

Oracle VM VirtualBox

OS:

REMNUX

This is an OS distribution to analyze both windows and Linux malware. The distro is based on Ubuntu.

https://remnux.org/

Online courses: https://www.sans.org/ ($7000,00)

Tools for linux malware only:

Automating Linux Malware analysis using Limon sandbox:

https://www.blackhat.com/docs/eu-15/materials/eu-15-KA-Automating-Linux-Malware-Analysis-Using-Limon-Sandbox-wp.pdf

SEO for images

The image should be relevant to your article. The name of the file should be relevant to the content of the image and be of the form: main-keyword-secondary-keyword.jpg

The image should be served at the size it will be displayed

Use srcset for responsiveness

Serve compressed image if possible in webp.

The number one SEO factor for images is the file name. It should have a structure such as keyword-secondaryword-index.jpg

The image URL is also important in giving context for the image to the search engine.

Create good URL structure for your images: Google uses the URL path as well as the file name to help it understand your images. Consider organizing your image content so that URLs are constructed logically.

Google Images Bet Practice

Use structured data for your content and include the image :

<script type="application/ld+json">
{
  "@context": "http://schema.org/",
  "@type": "Product",
  "name": "Reguleeritav kontorilaud",
    "image": "https://www.example.com/images/category-productname1.jpg",
      "description": "A compelling descritpion",
      "offers":{
    "@type": "Offer",
    "priceCurrency": "EUR",
    "price": "575"
  }
}
</script>

Alt description and title should contain your keyword but it doesn’t seem to be a major ranking factor.

Title and meta tags for the image are used by google to generate title and snippet for the image this might impact the click through rate. Most of the job regarding CTR must be done by the picture itself but I sometime use snippet to verify that the picture I am interested in is actually the right thing in the right context (imagine checking picture of clelbrities, you might sometime stop and check if that picture is actually from the celebrity, or if that product picture actually match the exact model you were interested in.

Google Images automatically generates a title and snippet to best explain each result and how it relates to the user query. This helps users decide whether or not to click on a result.

We use a number of different sources for this information, including descriptive information in the title, and meta tags for each page. 

Google Images Best Practice

About image quality:

Don’t use images that are too small or have a low resolution on the mobile version. Small or low-quality images might not be selected for inclusion in Google Images, or shown as favorably when indexed.

https://webmasters.googleblog.com/2020/07/prepare-for-mobile-first-indexing-with.html?utm_source=feedburner&utm_medium=email&utm_campaign=Feed%3A+blogspot%2FamDG+%28Official+Google+Webmaster+Central+Blog%29