I'm trying to get single report from openvas using omp cli with filter option as shown below:
--xml=<get_reports report_id="8b8750e2-ecd0-4234-86d5-09ba22136b81" format_id="c402cc3e-b531-11e1-9163-406186ea4fc5" filter="overrides=1,levels=hml,notes=1,min_qod=70,autofp=0"/>
but in the report it's not taking effect. I'm always getting same report irrespective of what levels(hmlgd) I mention and report always contain
Information on overrides is included in the report.
Notes are included in the report.
This report might not show details of all issues that were found.
Issues with the threat level High are not shown.
Issues with the threat level Medium are not shown.
Issues with the threat level Low are not shown.
Issues with the threat level Log are not shown.
Issues with the threat level Debug are not shown.
Issues with the threat level False Positive are not shown.
Only results with a minimum QoD of 70 are shown.
I'm just trying to get a single report which should contain only high, medium and low vulnerabilities.
The filter must be listed without commas
filter="overrides=1 levels=hml notes=1 min_qod=70 autofp=0"
Related
when I test the page in DevTools, there is no problem with CLS.
But, with pagespeed-insights there appears a difficulty with the mobile page CLS.
Not for the lab data, but only for the real data:
https://federhilfe.de/rotkehlchen-anlocken-im-garten-ansiedeln-fuetterung-nisthilfen/
https://pagespeed.web.dev/report?url=https%3A%2F%2Ffederhilfe.de%2Frotkehlchen-anlocken-im-garten-ansiedeln-fuetterung-nisthilfen%2F&hl=de
Do you have any idea how to solve this problem?
Thank you very much!
Alex
The guide at web.dev/lab-and-field-data-differences mentions a few reasons why CLS may be different across lab and field measurement:
CLS may depend on real-user interaction, while lab tests do not simulate any interactions (by default)
Personalized content from real users may affect CLS, which may not be represented in lab testing
Real users may have warm caches, so content may not need to load, minimizing CLS, whereas lab tests traditionally run with empty caches
To help identify why CLS is happening to real users, the first step I'd recommend is to use the website yourself with something like the Web Vitals extension enabled. Just from scrolling to the bottom of the page with the heads-up display (HUD) turned on, I can see CLS values gradually increasing and exceeding the "good" threshold of 0.1
I'd also recommend measuring Web Vitals in the field to ensure that you have additional debug data about what might be causing CLS to your real users.
Even though this kind of interaction-induced CLS wouldn't be reproduced by lab testing, it could still identify possible causes of real-user CLS. The PageSpeed Insights link you shared, you can click Show audits relevant to: CLS. For the desktop results, there are two audits that need attention:
Image elements do not have explicit width and height
Avoid large layout shifts
I'm very aware that my title isn't very "problem solving" oriented. However I' like to understand the issue I have and I hope that it might help others.
I'm connected to a Google Analytics view. I've created three different sources in Power BI from the same view:
Sources with:
date, sessions and source / medium dimension
date, sessions and a hit level custom dimension
date, sessions, hit level custom dimension and source / medium
date, sessions
Sources 1,2,4 return the same total amount of sessions (which match Google Analytics numbers) however the source 3 return only half of the sessions.
So I guess something is not working between the source / medium dimension and the custom dimension however I'd like to understand why.
Thanks.
We are using the free level of GA and have been creating reports using Custom Dimensions and Metrics since last summer.
We also use the Google Sheets Analytics add-on to post process data pulled from the API.
Overnight on 16-17 May (UK Time), our reports suddenly started showing as being sampled. Prior to that we had no sampling at all, as our reports are scheduled so I can look back through the revision history to see changes made when the scheduled reports run.
This sampling is occurring in custom reports viewed in the GA platform and in GA sheets. I've done some analysis and it appears to only occur at the point that more than one Custom Dimension is added to a report, or when the GA dimensions ga:hour or ga:dateHour are used (ga:date does not trigger sampling).
All our Custom Dimensions and Custom Metrics are set at Hit level (I've read a post where it was claimed to be due to mixing scopes on Dimensions & Metrics, but we are not doing this).
If I reduce the date range of a query (suggested as a solution on many blogs), the sampling level actually gets worse rather than better.
For the month of May we didn't even hit 4k sessions at property level. I can't find any reference anywhere to any changes being made to GA that would cause sampling to apply to our reports (change documentation, Google Blogs etc).
Is anyone else experiencing this or can anyone shed any light on why this might be happening? Given how we use GA if we can't resolve this then it's a year of work down the drain, so I'm really keen to at least know why this has suddenly happened even if ultimately nothing can be done about it.
I have been trying to import customer master through data management tool in AX7 using "Customers" standard data entity, I have marked "Auto-Generate" for customer account field. And I am facing a number sequence error while the data gets inserted into staging. When I check the execution log I see the below error.
"Issue exists in auto generation of number sequence
Issue exist in generate staging data
'4' 'Customers' record(s) inserted in staging"
I checked number sequence setup for Customer account and it is proper it is as below:
Note:
Gives the same error irrespective of Continuous is marked or not for the number sequence code.
Any quick inputs would be appreciated!
Thanks Fh-Inway!
I have figured out the issue, and it's an issue with standard AX. An application hot fix (Metadata) is available for this which can be found in the LCS as a part of AX update2. I have installed it, tested it to be working fine.
Not sure whether I can share the Hotfix KB Article number here for the same.
Note: That hotfix has a common fix that addresses auto-generation of number sequences across all the data entities.
I want to see how many transactions Facebook provides and the value of these in a webshop.
I have tried to do this in two different ways:
When I use the filter box and write facebook, i get 20 transactions from 30.000 visits.
But,
When i add an advanced segments (Include source containing facebook), I get 60 transactions from 25.000 visits.
How can i verify which one is true?
Check your tracking code for proper setup, in most cases it is a reason for this kind of trouble (use ga debugger for chrome or at least firebug's network monitoring).
Check that you're comparing the same time periods. Consider data sampling inaccuracy if you deal with a high traffic volume.
For verification purposes try to mark your facebook links with utm tags and track your visits/transactions in Campaigns report.