The TeamPCP Cloud Stealer is a comprehensive filesystem credential stealer that can harvest, encrypt, and exfiltrate credentials from over 50 sensitive file paths across CI/CD, cloud, developer tooling, and container environments. The TeamPCP Cloud Stealer was the primary payload used by TeamPCP in March 2026 during early stages of a cascading supply chain campaign targeting CI/CD workflows.[1][2][3][4][5][6][7][8]
47
TechniquesTop 1%
10
TacticsTop 6%
1
Threat groupunranked
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
TeamPCP Cloud Stealer can scrape memory from the Runner.Worker process by reading /proc/<pid>/mem to extract secrets including plaintext tokens.91011121314
TeamPCP Cloud Stealer can compress and encrypt data and exfiltrate it via POST to an attacker-controlled domain. If that method fails it can use the victim's own GitHub account to create a public repository and uploads the encrypted data as a release asset.1516171819
TeamPCP Cloud Stealer can compress and encrypt data and exfiltrate it via POST to scan.aquasecurtiy[.]org. If that method fails it attempts to use a stolen GITHUB_TOKEN to create a repo and exfiltrate the data there.22
Reach is how much of ATT&CK this malware touches. Coverage is how well defended each thing it does is, as a median per technique rather than a total — a total would just restate the reach. Each figure is ranked against all 825 ATT&CK software entries only where that population actually spreads. Where most of the population shares one value, a percentile would rank the tie instead of the entity, so the raw value is shown and no rank is claimed.
Reach
Techniques47Top 1%
99th percentile · 99% of 825 ATT&CK software entries have this many Enterprise techniques or fewer.
Tactics10Top 6%
94th percentile · 94% of 825 ATT&CK software entries have this many tactics spanned or fewer.
Threat group161% tie · 22 values
61% of the population shares a single value across only 22 distinct values, so a percentile here would rank the tie, not the entity.
Campaigns085% tie · 8 values
85% of the population shares a single value across only 8 distinct values, so a percentile here would rank the tie, not the entity.
Coverage
Rules / technique11medBottom 19%
19th percentile · 81% of 825 ATT&CK software entries have more detection rules per technique.
Tests / technique4med28th pct
28th percentile · 72% of 825 ATT&CK software entries have more atomic tests per technique.
Data comps / technique4med54% tie · 11 values
54% of the population shares a single value across only 11 distinct values, so a percentile here would rank the tie, not the entity.
Mitigations / technique1med57th pct
57th percentile · 57% of 825 ATT&CK software entries have this many mitigations per technique or fewer.
5 of 8 axes carry an honest rank on this page. Coverage medians are taken across this malware’s 47 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
Florian Roth (Nextron Systems), Tom Ueltschi, Jonhnathan Ribeiro, oscd.community
2017-11-10
2022-12-02
0bcfabcb-7929-47f4-93d6-b33fb67d34d1
Splunk
The following analytic detects unauthenticated requests to an Amazon EKS Kubernetes cluster, specifically identifying actions by the "system:anonymous" user. (...)
Indicates that there are abnormal characteristics in the token such as an unusual token lifetime or a token that is played from an unfamiliar location.
Mark Morowczynski '@markmorow', Bailey Bercik '@baileybercik'
2022-06-02
—
0055ad1f-be85-4798-83cf-a6da17c993b3
Detects when AppLocker "Audit only" enforcement mode reports that an Application, DLL, Script, MSI, or Packaged-App would have been blocked if AppLocker "Enforce rules" enforcement mode was enabled.
The following analytic detects the execution of tools commonly exploited by cybercriminals, such as those used for unauthorized access, network scanning, privilege escalation, password dumping or data exfiltration. (...)
The following analytic identifies excessive security scanning activities in AWS by detecting a high number of Describe, List, or Get API calls from a single user. (...)
Detects the Linux-specific execution chain of the plain-crypto-js malicious npm dependency by Axios NPM package, including payload download via curl and detached execution using nohup and python3. (...)
Detects the macOS-specific execution chain of the plain-crypto-js malicious npm dependency in Axios NPM Package, including AppleScript execution via osascript, payload download, permission modification, execution, and cleanup.
This detection identifies the presence of the default AzureHound user-agent string within Microsoft Graph Activity logs and NonInteractive SignIn Logs. (...)
The following analytic detects instances where Azure AD has blocked a user's attempt to grant consent to a risky or potentially malicious application. (...)
The following analytic identifies instances where a user has denied consent to an OAuth application seeking permissions within the Azure AD environment. (...)