Slack has become seemingly ubiquitous among the workforce. The email disruptor, now owned by Salesforce, serves over 200K paid organizations, including 77 of the Fortune 100.
As with most solutions that bring enormous value to the enterprise, Slack also introduces material risk, often in the form of data exfiltration that isn’t detected by the SOC. The speed, transparency, and collaboration Slack drives means employees are able to easily and broadly share data—and they do so, often without training or governance guardrails.
A leading risk vector for Slack comes down to fundamentals: an organization’s Identity and Access Management and lateral movement controls. Adversaries who gain access to a user’s device are able to steal identity tokens out of the memory of the machine and then log into Slack to access an organization’s data—bypassing any MFA controls.
The blast radius of this can be massive. In early 2024, Disney was hit by a “Slack Dump” where a hacker (who just plead guilty in May 2025) exfiltrated a 1.1-TB trove of data. Wired reported this included unreleased projects, code, images, login credentials, and links to internal websites and APIs.
In this example, Slack didn’t fail Disney, their layered defense did. A single user downloaded a cool AI image generation tool that ended up being malware, went undetected by an EDR, giving the attacker access to a data payday.
Exposure to data exfiltration from Slack—or any other internal application—comes down to the limits of your defenses. Security posture is not the sum of your tools. It’s the sum of what an attacker can do despite them.
Without the attacker’s perspective, organizations commonly over-rely on DLPs that typically don’t monitor private messages or group chats—leaving massive exposure. They also place too much faith in EDRs, which rarely provide comprehensive endpoint coverage and are often misconfigured, making them ineffective at detecting Remote Access Tools (RATs). And many still rely on vulnerability scanning tools that can’t identify what an attacker would actually care about in their unique environment.
Compounding the challenge, SOCs typically have less visibility into internal productivity tools like Slack compared to critical infrastructure. But attackers know there are many paths to high value targets.
The answer is to proactively discover and remediate risk before attackers do. The gold standard for this is penetration testing—but done manually, it’s cost-and time-prohibitive to assess risk across your entire network. To test comprehensively and continuously as environments change, security teams can turn to SaaS pentesting solutions.
Running autonomous penetration tests on a recurring basis shows whether NodeZero—or any bad actor—is able to exploit the embedded Slack exposure. Once human constraints are removed, you’re able to test your environments from any perspective to understand how exposure changes with different entry points, with or without credentials, and even assumed control failure.
Then, with detailed, instructive attack paths you see exactly what weaknesses in the chain to remediate, protecting valuable data from theft.
Let’s take a look at one real-world example of a Slack Dump achieved by NodeZero and the chain of weaknesses it used to exfiltrate high-value business data.
For CISOs reporting to the board, the Slack Dump scenario isn’t just about tokens—it’s about reputational, legal, and competitive risk. When your internal R&D roadmap, contract details, and credentials are all in Slack, a single compromise can derail the business – Snehal Antani, Horizon3.ai
In this example, the user kicked off an internal pentest, so NodeZero starts on a single host with no privileges. From there:
💡EDR solutions should detect this activity but often fails—among dozens of EDR vendors NodeZero encounters, the failure rate for detecting the RAT is often around 20% (with one vendor failing to detect over 90% of the time).
The learning? Make sure you’re validating your EDR efficacy and tuning as needed to get your money’s worth.
💡EDR solutions should detect this activity but often fails—among dozens of EDR vendors NodeZero encounters, the failure rate for detecting the RAT is often around 20% (with one vendor failing to detect over 90% of the time).
The learning? Make sure you’re validating your EDR efficacy and tuning as needed to get your money’s worth.
At this point NodeZero has proven—in production with a real attack—that an adversary could steal any business data this user has access to.
This one example from a production environment highlights a number of realities security teams should keep in mind.
First and foremost, you need to test your defenses continuously, at scale. This means looking at your environment through the lens of an adversary looking to achieve a malicious outcome, not compromise any specific weakness or CVE itself.
In this attack path, NodeZero revealed the defensive improvements needed, giving the team specific, high-return actions to take.
If you’re ready to know exactly where you’re exploitable, our team is here to give you a personalized demo. With autonomous, scalable attack chaining and proof of exploitation, you’ll be empowered to make better risk tolerance decisions—and evolve them as your attack surface and exposure change.