[{"data":1,"prerenderedAt":795},["ShallowReactive",2],{"/en-us/blog/what-its-like-to-intern-in-gitlab-security":3,"navigation-en-us":39,"banner-en-us":439,"footer-en-us":449,"blog-post-authors-en-us-Juliet Wanjohi":691,"blog-related-posts-en-us-what-its-like-to-intern-in-gitlab-security":705,"assessment-promotions-en-us":747,"next-steps-en-us":785},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":26,"isFeatured":12,"meta":27,"navigation":28,"path":29,"publishedDate":20,"seo":30,"stem":34,"tagSlugs":35,"__hash__":38},"blogPosts/en-us/blog/what-its-like-to-intern-in-gitlab-security.yml","What Its Like To Intern In Gitlab Security",[7],"juliet-wanjohi",null,"unfiltered",{"slug":11,"featured":12,"template":13},"what-its-like-to-intern-in-gitlab-security",false,"BlogPost",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"body":21,"category":9,"tags":22},"What it's like to intern on the GitLab Security team","I spent 16 weeks interning across the GitLab security department and here’s what I learned",[18],"Juliet Wanjohi","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749672427/Blog/Hero%20Images/cgower_desk.jpg","2020-08-13","\n\n{::options parse_block_html=\"true\" /}\n\n\n\nBetween May and August 2020, I had the wonderful opportunity of being part of the [Engineering Internship Pilot Program](https://handbook.gitlab.com/handbook/company/working-groups/engineering-internship/). Specifically, I was an intern in the [Security department](https://handbook.gitlab.com/handbook/security/) at GitLab. This was my first [all-remote](https://handbook.gitlab.com/handbook/company/culture/all-remote/guide/) role, and I must say it was an extremely worthwhile experience. 😄\n\nGetting to work remotely at GitLab offered a lot of flexibility as I could choose my own working hours where I was most productive, and at the same time learn how to become a [manager of one](https://handbook.gitlab.com/handbook/values/#managers-of-one) in my day-to-day tasks. Additionally, due to the team being fully-distributed, I was able to meet and collaborate with a diverse group of individuals from all over the world. The team was very helpful each step of the way, and I could always reach out to my manager and mentors if I required any assistance. What surprised me the most was that I was able to have chats with senior leadership in GitLab, which I think is great since one may not have such opportunities in a normal office setup.\n\nThe internship enabled me to grow exponentially in different aspects: technical skills, accountability, and within the [GitLab values](https://handbook.gitlab.com/handbook/values/) of collaboration, efficiency and transparency to name but a few areas.\n\n## Cross-functional exposure and understanding\nA goal for my internship experience was to gain exposure to different security teams and develop an understanding of the key functions performed to ensure and enhance the overall security posture of GitLab.\nGitLab’s [Security department](https://handbook.gitlab.com/handbook/security/) is organized around three key tenets that drive the structure and activities of the group, including: secure the product, protect the company and assure the customer. I had the opportunity to work across each of these teams and want to share some key learnings from each rotation.\n\n### Securing the product\nThis team works closely with engineering and product teams to ensure that all GitLab products securely handle the customer data with which we are entrusted. I was able to work with the teams in the [Application Security](https://handbook.gitlab.com/handbook/security/security-engineering/application-security/), [Security Research](https://handbook.gitlab.com/handbook/security/#security-research) and [Security Automation](https://handbook.gitlab.com/handbook/security/security-engineering/automation/) functions to gain a deeper appreciation of how they ensure all aspects of GitLab exposed to customers or that host customer data are held to the highest security standards.\n\nWorking with security engineers on our [Application Security](https://handbook.gitlab.com/handbook/security/security-engineering/application-security/) team, I had the chance to contribute directly to GitLab the product! 🎉 This involved [improving the current path traversal checks](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/33114) on user controlled file names and file paths. It was a collaborative effort between myself and other engineers through multiple code reviews and iterations that also helped me to sharpen my skills in coding with Ruby and produce well-written tests. Furthermore, I was able to triage a couple of reports in [GitLab’s bug bounty program](https://hackerone.com/gitlab). This enabled me to learn more about vulnerability identification and how the team handles bug reports from the first stage, where a bug is reported, to the last stage, where a security release is created to fix the bug. By reviewing past issues that the Application Security team had handled, I was able to develop a better understanding of the [security fix process](https://handbook.gitlab.com/handbook/security/#vulnerability-reports-and-hackerone). With respect to ‘shift left’, this enabled me to see how the team collaborates with other engineering and product teams to integrate security early in the development process by carrying out code security reviews on features.\n\nIn addition, I had pairing sessions with members of the [Security Research](https://handbook.gitlab.com/handbook/security/security-engineering/security-research/) team where I was able to learn about different bug-hunting approaches and current security vulnerability research areas being undertaken such as SAST/DAST tooling and dependency scanning. We also worked together to solve a couple of challenges from the 2020 GitLab capture the flag (CTF). Read about the CTF in [“How to play GitLab's Capture the Flag at home”](/blog/how-to-play-gitlab-ctf-at-home/) and try your hand!\n\nThe time I spent working with the [Security Automation](https://handbook.gitlab.com/handbook/security/security-engineering/automation/) team exposed me to the SaaS infrastructure that GitLab relies on with a special emphasis on Google Cloud Platform (GCP). I collaborated with another security engineer to design and implement automation efforts to assist with the management of anomalous resources in GCP, and further assist with the triage process of the reports on these resources.  Through [coffee chats](https://handbook.gitlab.com/handbook/company/culture/all-remote/informal-communication/#coffee-chats) with the rest of this team, I was able to gain an understanding of the current Security Automation initiatives surrounding the building of tools and services geared towards increasing efficiency and assisting other security teams in their work.\n\n### Protect the company\nThis group is responsible for “[shoring up and maintaining the security posture of GitLab.com to ensure enterprise-level security is in place to protect our new and existing customers](https://handbook.gitlab.com/handbook/security/#protect-the-company)” and I was fortunate to work across all three functional areas within this group: [Security Incident Response Team](https://handbook.gitlab.com/handbook/security/#sirt---security-incident-response-team-former-security-operations) (SIRT), [Trust and Safety](https://handbook.gitlab.com/handbook/security/#trust--safety) team and [Red Team](https://handbook.gitlab.com/handbook/security/security-operations/red-team/).\n\nWorking with the SIRT team was exciting as I got to learn how security incidents are managed by shadowing the security engineers on-call. This can be a very time-sensitive and fast-paced operation as incidents need to be handled quickly, but at the same time, precisely to avoid any further escalations. Additionally, I had the privilege to work with the team to help create detection rules using Python; I particularly enjoyed this since one of my favorite aspects of software engineering is coding! This gave me insight into how we can proactively detect threats in our environment and design appropriate response approaches.\n\nThe [Trust and Safety](https://handbook.gitlab.com/handbook/security/#trust--safety) team’s main objective is to ensure that GitLab.com is not abused by malicious users. I was able to contribute to this team’s efforts by developing an algorithm that could help to detect [file obfuscation](https://attack.mitre.org/techniques/T1027/), which is a trending abuse methodology used to hide malicious content. This was particularly interesting as we got to leverage the power of machine learning in the security domain. More about this project can be seen further down in this post!\n\nGitLab’s Red Team actively examines the security posture of the organization by carrying out exercises to establish threat models and escalate any security gaps that may be discovered during testing. My time spent on this team gave me the opportunity to get the team members’ perspectives on what it takes to be a ‘Red Teamer’ and how they support GitLab’s value of transparency in their day-to-day work. An interesting project that I was able to contribute to involved research on a machine learning algorithm that can help with secret scanning in GitLab repositories. This proof-of-concept was geared towards reducing the large number of false positives in the current state-of-the-art secret searching tools.\n\n### Assure the customer\nThis sub-department focuses on the mission to [“provide assurance to GitLab customers that any data shared with GitLab will be kept safe and our customer's privacy will be respected”](https://handbook.gitlab.com/handbook/security/security-assurance/) and includes the functions and subteams of [Field Security](https://handbook.gitlab.com/handbook/security/security-assurance/field-security/) and [Security Compliance](https://handbook.gitlab.com/handbook/security/security-assurance/security-compliance/).\n\nInterning within this group was a unique experience for me as I had not yet had the chance to try my hand at a [security analyst](https://handbook.gitlab.com/job-families/security/security-analyst/) role. Through this engagement, I gained visibility into how risk and compliance relate to the bigger security picture and became familiar with the various security compliance certifications and their relationship to the internal [GitLab Control Framework](https://handbook.gitlab.com/handbook/security/security-assurance/security-compliance/sec-controls.html). Specifically, I was able to look at the SOC2 industry standard and help to test controls such as data management, with respect to current vendor security review assessments.\n\n## A deeper dive: machine learning in security\n\nAs part of my internship here, I had the opportunity to focus more deeply on an area of specific interest to me: machine learning. GitLab is actively pursuing novel ways of integrating machine learning into its overall security model. Machine learning can offer multiple benefits in security-based use cases including detection of malicious activity and automation of repetitive security tasks.\n\nAs part of the anti-abuse efforts ongoing at GitLab, senior security engineer in Automation, [Melissa Rodriguez](https://gitlab.com/melissar) and I worked on creating an algorithm that could help to detect obfuscation in certain files. This involved research and learning how to build models that could find patterns in text, and using this to correctly classify regular files versus obfuscated files. I'm proud to say the algorithm I helped to develop with Melissa is going to be used in the detection of abusive activities such as cryptomining, where attackers tend to obfuscate their mining configurations.\n\nMachine learning is a fast-growing trend that has a myriad of applications in the security space, and it is important to consider how to take advantage of it to improve overall security posture and better protect customers.\n\n## Interested in joining GitLab?\nIf you would like to be a part of this amazing team and get to contribute to the GitLab product while enjoying the perks of all-remote, check out the [career opportunities](/jobs/) page and join our [talent community](https://boards.greenhouse.io/gitlab/jobs/4700367002?gh_src=d865c64f2us). You can also learn more about GitLab’s [culture](https://handbook.gitlab.com/handbook/company/culture/) and [values](https://handbook.gitlab.com/handbook/values/) in order to get an understanding of what it might be like to work here!\n\n\nCover image by [Christopher Gower](https://unsplash.com/@cgower) on [Unsplash](https://unsplash.com/)\n",[23,24,25],"security","inside GitLab","open 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Shadow Takeaways from Jacie","Recap of my experience in the CEO Shadow Program.",[711],"Jacie Bandur","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749664102/Blog/Hero%20Images/gitlab-values-cover.png","2021-05-18","\n\n{::options parse_block_html=\"true\" /}\n\n\nHi! I’m Jacie Bandur. I completed GitLab’s CEO Shadow program from 2021-04-26 through 2021-05-07. It was a really enlightening experience. I generally work in Learning and Development and consider myself a lifelong learner. I can’t even explain how much I learned in such a short about of time. I learned a lot about the business. I learned a lot about the product. But learned even more about the importance of iteration in everything we do.\n\n### Qualifications to Participate\n\nI wanted to start this off with touching on qualifications to participate in the program.\n\nI am the type of person that has gone through most of my life thinking I’m not qualified for things. I’m not qualified for that job, that promotion, that program. The list goes on and on.\n\nWhen I saw the [CEO Shadow program](/blog/ceo-shadow-impressions-takeaways/) kick off in 2019, I really wanted to participate. I was a little intimidated. Who wouldn’t be, spending 2 weeks with the CEO of any company? But time passed and all the sudden it was 2021 and I had not taken any steps to participating in the program.\n\nIf you are sitting there waiting for someone to tell you that you are qualified to participate in this program, I’m not big on giving “pep talks,” but here’s me telling you - You are qualified for this program. There’s never going to be a good or perfect time to do it. Tell your manager you want to do the CEO Shadow program. Stop waiting. Sign up today.\n\nNote: Take a look at the [eligibility](https://handbook.gitlab.com/handbook/ceo/shadow/#eligibility) section of the CEO Shadow page for more information on signing up.\n\n### Pre-Program Tips\n\nThere are many things recommended for shadows to do pre-program outlined on the CEO Shadow handbook page. As I was going through the program there were things that I thought helped me (or would have helped me).\n\nHere are my top 6 recommendations:\n\n1. Make sure your team knows you will be unavailable for 2 weeks. This isn’t a program that can or should be done alongside your normal day to day work. I found catching up from the 2 weeks away kind of difficult because I was trying to keep up on what was going on and I had a bunch of half done things.\n1. Talk with people who have done the shadow program - schedule at least 3 coffee chats with CEO Shadow Alumni.\n1. Have food that is easy to eat quickly. Sid’s meetings are back to back most days, so you will have small amounts of time to eat throughout the day. Sid does eat during calls, which you are welcome to do, too, but if you are taking notes, it is difficult to eat. And this will make you realize why speedy meetings are so important!\n1. Listen to the [Executive Leadership LinkedIn Learning course](https://www.linkedin.com/learning/executive-leadership/).\n1. Be prepared to ask questions. When doing the program virtually, there isn’t a ton of time for asking questions, so when one would come up, I would add it to a note on my computer and ask if there was ever time with just the shadows and Sid.\n1. Take at least 1 day off after the program. Take even a couple of days off if you can! This is recommended on the handbook page, but I can’t stress this enough.\n\n\n### Takeaways\n\n**Group Conversations**\n\nI’ve been at GitLab for almost 4 years. When I joined, I made it a point to attend as many GC’s as I could. I had gotten out of the habit of attending Group Conversations. After attending them again for 2 weeks, I realized how important they are to understand better what is going on across the business. Everything in the organization is so intertwined. It’s helpful to understand what other teams are working on and succeeding in.\n\n**Feedback**\n\nWe should all be giving and receiving feedback often. We have a whole [handbook page on giving and receiving feedback](https://handbook.gitlab.com/handbook/people-group/guidance-on-feedback/). Read the handbook page and watch the videos, as well. Practice giving feedback. I recommend using the [1-1 agenda](https://handbook.gitlab.com/handbook/leadership/1-1/suggested-agenda-format/) Sid uses, because Feedback is an essential piece of that agenda, and it makes feedback more of a routine thing.\n\n**Biggest Takeaway**\n\nWe have an incredible team here at GitLab, from Engineering to Product to Sales to People and all the groups in between. There are so many great ideas. I observed the constant reinforcement by Sid to start with something small and build on it. You can ALWAYS make something more complex. It’s hard to go back to something more simple when you start with something complex.\n\nA couple of quotes that I heard from Sid during the program that reinforced this point:\n\n- “Every complex system evolves from a simple system that worked.”\n- “It’s very clear what is the simple solution. We can always make it more complicated as we go on.”\n\nI know they are very similar, but they happened in different meetings on different days, so the point was reinforced repeatedly.\n\nDuring the program, I reflected on the projects that I’am working on. How many of them am I trying to do too much on before releasing. Probably all of them. When I’m working on projects in the future, I will break them down into smaller, more doable chunks. Iteration is hard - it’s a skill to be practicing constantly.\n\n\n### Overall\n\nOverall, the program was really insightful and impactful. If you haven’t participated in it yet, I cannot encourage you enough to do so!\n",{"slug":716,"featured":12,"template":13},"ceo-shadow-recap",{"content":718,"config":730},{"title":719,"description":720,"authors":721,"heroImage":723,"date":724,"body":725,"category":9,"tags":726},"Why I love contributing to GitLab","Making small meaningful changes is what it's all about.",[722],"Austin Regnery","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749679501/Blog/Hero%20Images/new-feature.png","2021-05-11","It was mid-morning on a Tuesday in February, and I had 10 minutes in between meetings. So I decided to try and solve a pain point of mine.\nYou see, I had to memorize this HTML snippet to create a collapsible section in GitLab Issue descriptions and comments, but I kept forgetting it. Was it `summary` or `section`? I could never remember.\n```html\n\u003Cdetails>\n\u003Csummary>Insert Title\u003C/summary>\nHidden content\n\u003C/details>\n```\nEven though it is not vanilla Markdown, GitLab knows how to interpret some HTML. I used this formatting trick fairly often since full-page screenshots can occupy a lot of screen space, which leads to excessive scrolling.\nSo I decided to poke around our codebase to see how the other Markdown shortcuts worked. To my surprise, it was pretty straightforward. Each shortcut had a simple text input that mapped to each button. This implementation was simple to replicate since I just needed to copy/paste and replace a few words.\n![Image of Vue and Haml files with editor shortcuts](https://about.gitlab.com/images/blogimages/why-i-love-contributing-to-gitlab/vue-haml.png){: .shadow}\nThe Vue and Haml files with the new shortcut\n\nI started a branch and began hacking away at the code. Now, I would never call myself a Software Engineer, but I like to try and make things from time to time. I was able to add a new shortcut to the toolbar to insert this code snippet for me in less than 10 minutes. No more memorizing! Making contributions like this is what makes working at GitLab so special.\nNow, it wasn't ready for production, but I at least had something that worked. I shared it with my UX colleagues in Slack, and it started to gain traction with several up-votes and few constructive comments on how to make it better.\nWith the functionality flushed out, a few other designers helped me get a better icon added to our SVG library. Using clear iconography is critical for communicating information more clearly.\n| Initial Icon | Final Icon |\n| - | - |\n| ![SVG of chevron right icon](https://about.gitlab.com/images/blogimages/why-i-love-contributing-to-gitlab/chevron-right.svg) | ![SVG of details block icon](https://about.gitlab.com/images/blogimages/why-i-love-contributing-to-gitlab/details-block.svg) |\n\nThe last thing to do was resolve my failing tests, and I had several teammates help me do that.\n![Gif of the shortcut being used](https://about.gitlab.com/images/blogimages/why-i-love-contributing-to-gitlab/demo.gif)\n\nToday [this change](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/54938) merged! Now I solved a pain point for me and others. It took a few months to go from idea to production, but the effort was super low. I'd say the return on my initial investment, 10 minutes, is super high.\n> Having a direct impact on a product was never an option for me before joining GitLab.\n\n![Image of participants in the Merge Request](https://about.gitlab.com/images/blogimages/why-i-love-contributing-to-gitlab/participants.png)\n\n\nThank you to everyone that helped me deploy this\n",[727,728,729],"UX","product","AWS",{"slug":731,"featured":12,"template":13},"why-i-love-contributing-to-gitlab",{"content":733,"config":745},{"title":734,"description":735,"authors":736,"heroImage":738,"date":724,"body":739,"category":9,"tags":740},"Placebo Lines on the Pipeline Graph","Have you noticed the connecting lines missing on your pipelines lately? Here's why",[737],"Sam Beckham","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749679507/Blog/Hero%20Images/ci-cd.png","\n\n{::options parse_block_html=\"true\" /}\n\n\n\nHave you ever pressed the close door button on the elevator, in the hope that you'll save a few precious seconds?\nOr got frustrated at the person stood next to you at the cross-walk, neglecting to press the button?\nWell, maybe they know something you don't, or perhaps you know this already.\nMany buttons in our society lie to us.\n[David McRaney](https://youarenotsosmart.com/2010/02/10/placebo-buttons/) dubbed these, \"Placebo buttons\" and they're everywhere.\nThose elevator doors won't close any faster and the cross-walk button has no effect on the lights.\nThe only lights they control are the lights on the buttons themselves.\nThey give you the feedback you crave, but that's all they're doing.\n\nThese placebos aren't constrained to the physical world, they're prevalent in [UI design](/blog/the-evolution-of-ux-at-gitlab/) too.\nFrom literal placebo buttons like [YouTube's downvote](https://www.quora.com/Does-downvoting-a-comment-on-YouTube-even-do-anything), to more subtle effects like Instagram always [pretending to work](https://www.fastcompany.com/1669788/the-3-white-lies-behind-instagrams-lightning-speed), or progress bars that have a [fixed animation](https://www.theatlantic.com/technology/archive/2017/02/why-some-apps-use-fake-progress-bars/517233/).\nThey're everywhere if you know where to look.\n\nAt GitLab, we created a placebo of our own in one of our core features; the pipeline graph.\n\nThose of you who have used our pipeline graph, will be familiar with its appearance.\nThere's a series of jobs, grouped by stages, connected by a series of lines depicting the relationships between the jobs.\nBut these lines might be lying to you.\nThese lines are indiscriminately drawn between each job in a stage, regardless of their relationship.\nThese lines are placebos.\n\n![The old pipeline rendering with lines connecting every job in a stage](https://about.gitlab.com/images/blogimages/placebo-lines_old-graph.png)\n\nThis wasn't a problem to begin with.\nA basic pipeline has several jobs across a handful of stages.\nJobs in each stage would run parallel to each other, but each stage would run sequentially.\nIn the image shown above, all the jobs in the test stage would trigger at the same time. Once those jobs had finished, all the jobs in the build stage would trigger.\nWe used rudimentary CSS to draw lines connecting each job in one stage to each job in the next.\nThese lines weren't calculated based on their connections, but still reflected the story they were telling.\n\nSince the introduction of `needs` relationships in [v12.2](https://gitlab.com/gitlab-org/gitlab-foss/-/issues/47063), pipelines got a bit more complicated.\nNow you could configure a job in a later stage to trigger as soon as a job in an earlier stage completed.\nLooking at our old example, we could set the API deployment to run as soon as our spec tests passed.\nThis skips the remaining tests and the entire build stage, turning our lines into pretty little liars.\n\nWe had many internal discussions about these lines, and how to show the relationships between jobs.\nThere's the [`needs` visualization](https://docs.gitlab.com/ee/ci/directed_acyclic_graph/#needs-visualization), which does an excellent job of displaying these relationships, but the main pipeline graph was still inaccurate.\nFor the past few months, we've been [refactoring the pipeline graph](https://gitlab.com/gitlab-org/gitlab/-/issues/276949), giving it a new lease of life and fixing some of its issues along the way.\nOne of those issues were the faked lines.\nIn the new version, we can accurately draw lines between jobs.\nLines that actually depict the relationships jobs have with each other.\nNow the lines no-longer lie!\n\n![The newer pipeline graph showing the correct needs links between jobs](https://about.gitlab.com/images/blogimages/placebo-lines_new-graph.png)\n\nThe above image shows an unreleased version of the pipeline graph.\nYou can see the lines drawn between the jobs to show that the `deploy:API` job can start as soon as the `rspec` job is successful.\nSomething the old lines (shown earlier in this post) would have been unable to depict.\n\nOne unfortunate downside of this is that these lines can be quite expensive to calculate.\nThey're actual DOM nodes, drawn deliberately and placed precisely.\nOn smaller graphs this isn't a problem, but some of our initial tests have found pipelines with a potential 8000+ job connections.\nThat kind of calculation would grind the browser to a halt, and nobody wants that.\n\nAt GitLab, we believe in boring solutions.\nWe make the simple change that sets us on the path towards where we want to be.\nShip it, get feedback, and iterate.\nSo that's what we did.\nIn the first phase of this rollout, we shipped the new pipeline graph with no lines connecting the jobs.\nWe don't have to worry about the expensive calculations, and we still get to roll out the refactored pipeline graph.\n\n![The current (v13.11) pipeline graph showing no links between jobs](https://about.gitlab.com/images/blogimages/placebo-lines_current-graph.png)\n\nWe know some of you will miss them, but fear not.\nBoring solutions are just technical debt if you don't iterate on them.\nSo the [improved lines are coming](https://gitlab.com/groups/gitlab-org/-/epics/4509) in a future release, along with several other improvements to the pipeline graph.\nWe're already starting to roll out the new [Job Dependencies](https://gitlab.com/gitlab-org/gitlab/-/issues/298973) view which shows the jobs in a (much closer to) execution order.\nStay tuned for more updates, and watch [Sarah Groff Hennigh Palermo's talk](https://www.youtube.com/watch?v=R2EKqKjB7OQ) for the technical side of this effort and a deeper dive into some of the decisions we made.\n",[741,742,743,744],"CI","frontend","agile","design",{"slug":746,"featured":12,"template":13},"placebo-lines-on-the-pipeline-graph",{"promotions":748},[749,763,774],{"id":750,"categories":751,"header":753,"text":754,"button":755,"image":760},"ai-modernization",[752],"ai-ml","Is AI achieving its promise at scale?","Quiz will take 5 minutes or less",{"text":756,"config":757},"Get your AI maturity 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