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Frate, ai niste formulari si exprimari de ma doare capu la fiecare thread sau reply pe care-l postezi. Aplicatie prin care se poate observa? Geam opac 100%? Incerci sa te uiti printr-o galeata de nisip?

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About GitLab Watchman GitLab Watchman is an application that uses the GitLab API to audit GitLab for sensitive data and credentials exposed internally. Features It searches GitLab for internally shared projects and looks at: Code Commits Wiki pages Issues Merge requests Milestones For the following data: GCP keys and service account files AWS keys Azure keys and service account files Google API keys Slack API tokens & webhooks Private keys (SSH, PGP, any other misc private key) Exposed tokens (Bearer tokens, access tokens, client_secret etc.) S3 config files Tokens for services such as Heroku, PayPal and more Passwords in plaintext and more Time based searching You can run GitLab Watchman to look for results going back as far as: 24 hours 7 days 30 days All time This means after one deep scan, you can schedule GitLab Watchman to run regularly and only return results from your chosen timeframe. Rules GitLab Watchman uses custom YAML rules to detect matches in GitLab. They follow this format: --- filename: enabled: #[true|false] meta: name: author: date: description: #what the search should find# severity: #rating out of 100# scope: #what to search, any combination of the below# - blobs - commits - milestones - wiki_blobs - issues - merge_requests test_cases: match_cases: - #test case that should match the regex# fail_cases: - #test case that should not match the regex# strings: - #search query to use in GitLab# pattern: #Regex pattern to filter out false positives# There are Python tests to ensure rules are formatted properly and that the Regex patterns work in the tests dir More information about rules, and how you can add your own, is in the file docs/rules.md. Logging GitLab Watchman gives the following logging options: Log file Stdout TCP stream Results are output in JSON format, perfect for ingesting into a SIEM or other log analysis platform. For file and TCP stream logging, configuration options need to be passed via .conf file or environment variable. See the file docs/logging.md for instructions on how to set it up. If no logging option is given, GitLab Watchman defaults to Stdout logging. Requirements GitLab versions GitLab Watchman uses the v4 API, and works with GitLab Enterprise Edition versions: 13.0 and above - Yes GitLab.com - Yes 12.0 - 12.10 - Maybe, untested but if using v4 of the API then it could work GitLab Licence & Elasticsearch To search the scopes: blobs wiki_blobs commits The GitLab instance must have Elasticsearch configured, and be running Enterprise Edition with a minimum GitLab Starter or Bronze Licence. GitLab personal access token To run GitLab Watchman, you will need a GitLab personal access token. You can create a personal access token in the GitLab GUI via Settings -> Access Tokens -> Add a personal access token The token needs permission for the following scopes: api Note: Personal access tokens act on behalf of the user who creates them, so I would suggest you create a token using a service account, otherwise the app will have access to your private repositories. GitLab URL You also need to provide the URL of your GitLab instance. Providing token & URL GitLab Watchman will first try to get the the GitLab token and URL from the environment variables GITLAB_WATCHMAN_TOKEN and GITLAB_WATCHMAN_URL, if this fails they will be taken from .conf file (see below). .conf file Configuration options can be passed in a file named watchman.conf which must be stored in your home directory. The file should follow the YAML format, and should look like below: gitlab_watchman: token: abc123 url: https://gitlab.example.com logging: file_logging: path: json_tcp: host: port: GitLab Watchman will look for this file at runtime, and use the configuration options from here. If you are not using the advanced logging features, leave them blank. If you are having issues with your .conf file, run it through a YAML linter. An example file is in docs/example.conf Note If you use any other Watchman applications and already have a watchman.conf file, just append the conf data for GitLab Watchman to the existing file. Installation Install via pip pip install gitlab-watchman Or via source Usage GitLab Watchman will be installed as a global command, use as follows: usage: gitlab-watchman [-h] --timeframe {d,w,m,a} --output {file,stdout,stream} [--version] [--all] [--blobs] [--commits] [--wiki-blobs] [--issues] [--merge-requests] [--milestones] [--comments] Monitoring GitLab for sensitive data shared publicly optional arguments: -h, --help show this help message and exit --version show program's version number and exit --all Find everything --blobs Search code blobs --commits Search commits --wiki-blobs Search wiki blobs --issues Search issues --merge-requests Search merge requests --milestones Search milestones --comments Search comments required arguments: --timeframe {d,w,m,a} How far back to search: d = 24 hours w = 7 days, m = 30 days, a = all time --output {file,stdout,stream} Where to send results You can run GitLab Watchman to look for everything, and output to default Stdout: gitlab-watchman --timeframe a --all Or arguments can be grouped together to search more granularly. This will look for commits and milestones for the last 30 days, and output the results to a TCP stream: gitlab-watchman --timeframe m --commits --milestones --output stream Other Watchman apps You may be interested in some of the other apps in the Watchman family: Slack Watchman GitHub Watchman License The source code for this project is released under the GNU General Public Licence. This project is not associated with GitLab. Download gitlab-watchman-master.zip or git clone https://github.com/PaperMtn/gitlab-watchman.git Source

<?php $ipdb = "0.0.0.0 03:30:59 06/02/2021"; //aici preiei din baza de date preg_match('/(.*) (.*) (.*)/', $ipdb, $matches); echo $matches[1]; //IP echo $matches[2]; //ora echo $matches[3]; //data $ip = $_SERVER['REMOTE_ADDR']; if($ip == $matches[1]){ echo "acest ip corespunde cu cel din baza de date"; }else{ echo "acest ip nu corespunde cu cel din baza de date"; }

SQL injection inseamna sa rulezi comenzi SQL care in mod normal ar rula cu totul altceva si sa-ti extragi datele de care ai nevoie. Ca sa "spargi" un forum, din punct de vedere al optiunilor, sunt mai multe modalitati: SQL injection folosind o vulnerabilitate pe care o stii deja in platforma (CVE/vulnerabilitate publica sau una pe care ai gasit-o tu) ca sa extragi baza de date si hashcat pentru parole RCE pentru a-ti extrage baza de date, desi asta ar fi mai rar, plus hashcat pentru parole social engineering pentru a ajunge la un cont de administrator Acum ce rulezi unde rulezi, o faci pe barba ta cum a zis WIK.