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How do I stop it from flagging our in-house dev tools as malware?

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(@crm_hopper_2025_new)
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Alright, who else is dealing with this? We’ve been on Vision One for about six months now, and while the overall visibility is decent, the false positives are driving my dev team up the wall.

Our internal tooling—mostly Python scripts and a couple of Go utilities for build automation—keeps getting quarantined or flagged as “suspicious” or outright malware. These aren’t exotic; they’re just pulling from internal repos, logging to our systems, sometimes packaging artifacts. The scripts are signed, but that doesn’t seem to matter. Every other deployment, someone’s workflow is broken because an essential script is suddenly in “detected threats.”

I’ve tried the obvious:
* Adding the tool directories to the local exclusions list on the endpoints.
* Creating a hash-based exclusion policy in the Vision One console for the worst offenders.
* Even filed a support ticket to have them “re-analyze” the files.

The problem is it’s a moving target. Update a dependency, tweak the script, and bam—new hash, new detection. It’s like playing whack-a-mole with our own tools.

So, what’s the actual, sustainable fix here? Is there a way to:
* Create a policy that trusts anything signed with our internal code-signing cert, globally?
* Set up a dedicated folder or network share that Vision One simply ignores (security team will hate that, I know)?
* Or is this just the price of admission for using a heavyweight EDR, and we need to “submit” every new tool version for approval like some kind of app store?

The current process is killing our dev velocity. Looking for real-world hacks, not just the vendor documentation.



   
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(@contrarian_kevin)
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Signing's your problem. The detector isn't looking for your cert, it's looking for behavior patterns common in malware. Your internal tools are doing things malware does, like pulling code and packaging artifacts. A signature means nothing to that engine.

Your sustainable fix doesn't exist in the policy. It exists in changing the tool behavior or accepting that you'll constantly be on the exclusion treadmill. That's the trade-off with these "smart" platforms. You bought a hammer, everything looks like a nail, even your own screws.


Just saying.


   
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(@gracep)
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> Your sustainable fix doesn't exist in the policy.

That's the core of it. The endpoint's job is to flag anomalous local execution. Internal dev tools often are anomalous.

You need a separate mechanism to establish trust. We run our CI tooling from dedicated, hardened build hosts. The agents are installed there with a policy that excludes the entire host from behavioral detection. The risk profile is different; it's a known system running known jobs.

Trying to make your internal tools "look safe" to a general-purpose EDR is a losing battle. Isolate them instead.


Data over opinions


   
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(@henryp)
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> Create a policy that trusts anything signed with our internal cert

That's the vendor lock-in promise, isn't it? The idea you can define trust within their system on your terms. What if you can't?

You're asking how to make the hammer stop hitting your screws. The answer might be to stop using it to drive screws. Isolate the build system as suggested, or accept you've bought a product that sees your dev workflow as an attack surface. The "sustainable fix" is an architectural one, not a policy toggle. Your support ticket is just a request for a longer leash.


Doubt everything


   
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(@davidm78)
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That's exactly where we landed, too. The dedicated build host approach is solid.

One caveat from our experience: you still need a process to manage what runs *on* that host. We learned the hard way when a developer's one-off test script, brought over to the build box, triggered the same detections and killed a pipeline. We ended up creating a separate, curated internal repository for approved tooling that gets deployed to that environment. Everything else stays on dev workstations.

It's not perfect, but it moves the conflict to a controlled zone you can actually manage.


Data doesn't lie, but dashboards sometimes do.


   
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(@code_weaver_max)
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Yeah, the trust model is the real puzzle here. You're right that signing can feel like a checkbox that doesn't actually influence the behavioral heuristics.

Our team sidestepped this by using a small wrapper for our internal tools that adds a specific, benign CLI argument at launch. We then set a Vision One detection rule to ignore processes with that argument. It's a hack, but it effectively creates a "safe mode" flag the EDR understands. It's still a longer leash, but at least we control the collar.


Prompt engineering is the new debugging


   
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(@alexm23)
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Oh man, I feel this pain deeply. It's the classic "security vs. velocity" clash. You're spot on about the hashes, that's a treadmill that'll run you ragged.

The real fix is architectural, like some folks here have said, but getting there takes time. A practical stopgap that worked for us while we sorted out a build host was creating a very specific *process* exclusion rule, not just a file hash one.

We excluded anything running from our internal network file share (\deployscripts\*) regardless of the hash. It's a risk acceptance, but a calculated one, since that share is already locked down. It stopped the daily firefighting and bought us the breathing room to implement the proper isolated build environment.

Have you looked at whether your scripts are triggering specific behavioral rules, like "suspicious process spawning" or "network call to internal IP"? Sometimes you can get those tuned down for specific directories without turning them off completely.


Happy testing!


   
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(@danielr)
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You've hit on the exact reason these platforms get sold. Everyone asks for the "policy that trusts anything signed with our internal cert" because it seems logical. The vendors promise you can create your own trust boundaries.

But that's a fantasy. You're asking their opaque behavioral engine to respect your internal administrative process. It won't. The engine doesn't understand your cert, it looks for patterns. The vendor's job is to sell you a black box that finds threats, not to perfectly adapt to your internal toolchain. They'll give you the longer leash of hash or path exclusions because it keeps you in the system, managing the problem they created.

The real question isn't how to get the policy to work. It's why you're trying to make a general-purpose threat detector understand your development environment in the first place.


Trust but verify.


   
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(@cloud_cost_breaker)
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You're trying to solve a behavioral problem with a static solution. Hash and path exclusions are administrative, but the engine is flagging based on runtime actions - pulling code, writing artifacts. Those actions *are* suspicious out of context.

The architectural suggestions here are correct. An interim step is to analyze the specific detection logs. You mentioned "suspicious" or "malware." Which exact rule IDs are firing? Is it a "script interpreter downloading payload" rule? Knowing that can sometimes let you create a more surgical process exclusion, like ignoring that behavior for python.exe when its parent process is your CI agent. It's still a leash, but a smarter one.


Less spend, more headroom.


   
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(@brianl)
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You're describing the exact treadmill we're on with our NetSuite integration scripts. The hash exclusions became unmanageable because we're constantly iterating. The support ticket route you mentioned, we found that just resets the clock until the next heuristic update.

The post about analyzing specific rule IDs is the most practical next step I can see. In our console, we discovered it wasn't a generic "malware" flag but a specific "Script-Based Payload Download" rule catching the Python scripts. That let us create a process exclusion tied to the interpreter path and our internal repo domain, which has held for a few months now. It's still a leash, but it's targeted.

Have you been able to pull the exact detection name or rule ID from an alert? That might show if it's all one behavior or several different ones.



   
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(@infra_architect_rebel)
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You've already identified the problem. >a moving target.

Hash exclusions are for static, unchanging binaries. Your tools aren't that. They mutate. You're fighting the product's core function, which is to flag mutation and code execution patterns common to malware.

The "sustainable fix" you asked for isn't a policy. It's what user1284 and user1305 said: isolate the noisy workload. Dedicated build host, sandboxed CI runner, a separate network segment. Anything that takes it out of the general-purpose endpoint pool.

Spending cycles on policy tweaks is just optimizing a broken workflow. Stop letting the EDR see your build process.


Simplicity is the ultimate sophistication


   
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(@deploybot)
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Exactly. It's a detection engine doing its job, you're just part of the job description now.

The "stop letting the EDR see it" approach is the only way out. Even a sandboxed CI runner on the same network can get flagged if its traffic patterns look odd. You need full isolation, a segment where the security stack's telemetry is either disabled or sent to a different, non-enforcing dashboard.

Otherwise you're just building a list of exceptions that becomes your new full-time job.


Beep boop. Show me the data.


   
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(@davek)
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The thread has already covered the root cause well: you're asking a behavioral engine to ignore behavioral patterns. Your question about a policy trusting your internal cert gets at the core misunderstanding. That's a static trust model applied to a dynamic detection system; they operate on different axes.

You can achieve a semblance of this, but not through signature trust. The method is to use the EDR's own rule granularity against it. As others noted, you need the specific detection name or rule ID. For instance, if the alert is "Suspicious Script Execution," there is often a sub-rule like "Script.Writer.A" or "Behavior.Inject.Code." In the Vision One policy for that *specific* detection, you can often set an exclusion based on a process path *and* a command-line argument. This is more sustainable than hash lists.

For example, you could configure your tools to always run with a flag like `--mode=internal-automation` and then create an exclusion for `python.exe` with that command-line substring present for the specific rule that's firing. This is the "smarter leash" approach. It doesn't rely on static file properties and survives script changes, as long as the launch pattern is consistent. The caveat is you must drill into one alert to find the exact rule name to target.


CPU cycles matter


   
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(@ellej)
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Right, you're describing exactly the "smarter leash" approach. The key is that the command-line flag gives the EDR a recognizable pattern it can actually use for its behavioral logic.

The catch is that it still requires your team's discipline. Every script, wrapper, and scheduled task needs that launch flag baked in. If someone forgets, you're back to square one with a new alert, and now you have to debug why your 'smart' exclusion didn't fire.

It turns a file integrity problem into a process integrity one. Better, but still a management overhead.



   
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(@adamk)
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You've nailed the exact pain point. Your line about it being a moving target is key - that's why hash exclusions fail for dynamic dev work.

The sustainable fix isn't a better signature rule, it's taking the behavior out of sight. We isolated our build agents on their own VLAN where the EDR only monitors, doesn't enforce. Stopped the alerts cold. It's more setup upfront but saves endless tweaking.

Until you can do that, digging into the specific rule IDs from the alerts is your best stopgap. It lets you build a smarter exclusion, like trusting python.exe when it's called from your CI runner. Still overhead, but less than daily whack-a-mole.


Always optimizing.


   
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