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MITRE ATT&CK® Technique

T1213: Data from Information Repositories

Adversaries may leverage information repositories to mine valuable information. Information repositories are tools that allow for storage of information, typically to facilitate collaboration or information sharing between users, and can store a wide variety of data that may aid adversaries in further objectives, such as Credential Access, Lateral Movement, or Defense Evasion, or direct access to the target information. Adversaries may also abuse external sharing features to share sensitive documents with recipients outside of the organization (i.e., Transfer Data to Cloud Account).

The following is a brief list of example information that may hold potential value to an adversary and may also be found on an information repository:

* Policies, procedures, and standards * Physical / logical network diagrams * System architecture diagrams * Technical system documentation * Testing / development credentials (i.e., Unsecured Credentials) * Work / project schedules * Source code snippets * Links to network shares and other internal resources * Contact or other sensitive information about business partners and customers, including personally identifiable information (PII)

Information stored in a repository may vary based on the specific instance or environment. Specific common information repositories include the following:

* Storage services such as IaaS databases, enterprise databases, and more specialized platforms such as customer relationship management (CRM) databases * Collaboration platforms such as SharePoint, Confluence, and code repositories * Messaging platforms such as Slack and Microsoft Teams

In some cases, information repositories have been improperly secured, typically by unintentionally allowing for overly-broad access by all users or even public access to unauthenticated users. This is particularly common with cloud-native or cloud-hosted services, such as AWS Relational Database Service (RDS), Redis, or ElasticSearch.[1][2][3]

EnterpriseT1213TechniqueObject v3.4 Modified
Glexia's Take

Analyst context for executives and security teams

Analyst confidence High

T1213 matters because collaboration spaces, databases, code repositories, CRM systems, and messaging platforms often become informal stores for the organization’s most useful sensitive knowledge: diagrams, procedures, credentials, source snippets, customer or partner data, and links to internal resources. If an adversary gains access to these repositories, the issue is not only data theft; the collected information can help them plan lateral movement, credential access, and defense evasion. For executives, this technique is a reminder that “where people work” is often also “where sensitive data accumulates.”

Executive priority

Prioritize this as a governance and resilience issue across SaaS, IaaS, office suites, and endpoint-accessible repositories. Leaders should ask whether repository access is least-privilege, whether external sharing and public exposure are controlled, whether audit logs are enabled and retained, and whether sensitive data such as PII, credentials, architecture diagrams, and source code is appropriately protected. This technique is also relevant to compliance evidence because auditing, account management, encryption, and configuration reviews are explicitly tied to reducing repository exposure.

Technical view

For SOC, detection engineering, and IR teams, validate coverage across the platforms listed for this technique: Linux, Windows, macOS, SaaS, IaaS, and Office Suite. ATT&CK does not provide a detection paragraph for T1213, but relationship context includes detection strategy DET0413, Abuse of Information Repositories for Data Collection. Practical validation should focus on access and sharing activity in Confluence, SharePoint, code repositories, CRM systems, messaging applications, and databases. Sub-techniques T1213.001 through T1213.006 provide useful scoping: Confluence, SharePoint, Code Repositories, CRM Software, Messaging Applications, and Databases. IR playbooks should be ready to answer what was accessed, by whom, from where, whether external sharing occurred, and whether repository content included credentials, diagrams, customer data, or links to other internal systems.

Likely telemetry

  • Repository user access logs, including document, page, space, project, channel, database, or record access where available
  • Audit events from SharePoint and similar office-suite repositories, including sharing events and external recipient activity
  • Confluence user access logging where enabled
  • Code repository audit logs, including clone, pull, download, project access, and administrative permission changes where supported
  • CRM access and export audit records, especially bulk access to customer or contact data

Detection direction

  • Confirm that audit logging is actually enabled for major repositories; ATT&CK references SharePoint audit settings, SharePoint sharing events, and Confluence user access logging as relevant sources.
  • Tune for unusual repository mining behavior rather than single-file access alone: broad browsing, bulk downloads, repeated searches, access to sensitive spaces or projects, and access inconsistent with the user’s role.
  • Correlate repository activity with identity signals such as new device, unusual location, recently changed account permissions, or failed MFA where such telemetry exists locally.
  • Pay particular attention to external sharing features, public or overly broad access, and cloud-hosted services that may be unintentionally exposed.
  • Use the sub-techniques to structure detection coverage reviews: Confluence, SharePoint, code repositories, CRM, messaging applications, and databases each have different logging and false-positive patterns.

Mitigation priorities

  • Start with User Account Management: enforce least privilege, remove stale accounts, review broad groups, and limit repository access to business need.
  • Require Multi-factor Authentication for critical repository and cloud access paths where applicable.
  • Use Software Configuration reviews to restrict public access, external sharing, default permissions, and overly broad repository visibility.
  • Enable and periodically review Audit settings so investigations can reconstruct repository access and sharing activity.
  • Encrypt Sensitive Information at rest and in transit where supported, especially for repositories containing PII, credentials, source code, or architecture information.
Analyst notes and limits

This object is a parent enterprise ATT&CK technique under Collection. The strongest defensive value comes from inventorying where sensitive knowledge lives and proving that access, sharing, and audit controls work across repository types. Relationship context shows known use by a campaign, a group, and software entries, but that should be treated as ATT&CK context only, not as evidence of active exploitation in any specific environment.

The official ATT&CK detection field is not provided for this technique, so detection guidance must be derived from the technique description, related detection strategy DET0413, sub-techniques, mitigations, and cited logging references. Local platform configuration, licensing, retention, and repository-specific audit capabilities will determine real coverage.

Official MITRE ATT&CK definition

Data from Information Repositories

Adversaries may leverage information repositories to mine valuable information. Information repositories are tools that allow for storage of information, typically to facilitate collaboration or information sharing between users, and can store a wide variety of data that may aid adversaries in further objectives, such as Credential Access, Lateral Movement, or Defense Evasion, or direct access to the target information. Adversaries may also abuse external sharing features to share sensitive documents with recipients outside of the organization (i.e., Transfer Data to Cloud Account).

The following is a brief list of example information that may hold potential value to an adversary and may also be found on an information repository:

* Policies, procedures, and standards * Physical / logical network diagrams * System architecture diagrams * Technical system documentation * Testing / development credentials (i.e., Unsecured Credentials) * Work / project schedules * Source code snippets * Links to network shares and other internal resources * Contact or other sensitive information about business partners and customers, including personally identifiable information (PII)

Information stored in a repository may vary based on the specific instance or environment. Specific common information repositories include the following:

* Storage services such as IaaS databases, enterprise databases, and more specialized platforms such as customer relationship management (CRM) databases * Collaboration platforms such as SharePoint, Confluence, and code repositories * Messaging platforms such as Slack and Microsoft Teams

In some cases, information repositories have been improperly secured, typically by unintentionally allowing for overly-broad access by all users or even public access to unauthenticated users. This is particularly common with cloud-native or cloud-hosted services, such as AWS Relational Database Service (RDS), Redis, or ElasticSearch.[1][2][3]

View the same entry on attack.mitre.org (MITRE-hosted reference; in-page links above use the Glexia ATT&CK library.)

Glexia analysis

How security teams should use this page

Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.

ATT&CK relationship table

Related techniques

This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.

6 rows
Domain ID Name Relationship / procedure
Enterprise T1213.003 Code Repositories Sub-technique Code Repositories subtechnique of this object.
Enterprise T1213.006 Databases Sub-technique Databases subtechnique of this object.
Enterprise T1213.005 Messaging Applications Sub-technique Messaging Applications subtechnique of this object.
Enterprise T1213.004 Customer Relationship Management Software Sub-technique Customer Relationship Management Software subtechnique of this object.
Enterprise T1213.002 Sharepoint Sub-technique Sharepoint subtechnique of this object.
Enterprise T1213.001 Confluence Sub-technique Confluence subtechnique of this object.
Associated objects

Groups, software, and campaigns

Group Enterprise

G0007: APT28

APT28 is a threat group that has been attributed to Russia's General Staff Main Intelligence Directorate (GRU) 85th Main Special Service Center (GTsSS) military unit 26165.[1][2] This group has been active since at least 2004.[3][4][5][6][7][8][9][10][11][12][13]

APT28 reportedly compromised the Hillary Clinton campaign, the Democratic National Committee, and the Democratic Congressional Campaign Committee in 2016 in an attempt to interfere with the U.S. presidential election.[5] In 2018, the US indicted five GRU Unit 26165 officers associated with APT28 for cyber operations (including close-access operations) conducted between 2014 and 2018 against the World Anti-Doping Agency (WADA), the US Anti-Doping Agency, a US nuclear facility, the Organization for the Prohibition of Chemical Weapons (OPCW), the Spiez Swiss Chemicals Laboratory, and other organizations.[14] Some of these were conducted with the assistance of GRU Unit 74455, which is also referred to as Sandworm Team.

Malware Enterprise

S1148: Raccoon Stealer

Raccoon Stealer is an information stealer malware family active since at least 2019 as a malware-as-a-service offering sold in underground forums. Raccoon Stealer has experienced two periods of activity across two variants, from 2019 to March 2022, then resurfacing in a revised version in June 2022.[1][2]

Windows
Campaign Enterprise

C0024: SolarWinds Compromise

The SolarWinds Compromise was a sophisticated supply chain cyber operation conducted by APT29 that was discovered in mid-December 2020. APT29 used customized malware to inject malicious code into the SolarWinds Orion software build process that was later distributed through a normal software update; they also used password spraying, token theft, API abuse, spear phishing, and other supply chain attacks to compromise user accounts and leverage their associated access. Victims of this campaign included government, consulting, technology, telecom, and other organizations in North America, Europe, Asia, and the Middle East. This activity has been labled the StellarParticle campaign in industry reporting.[1] Industry reporting also initially referred to the actors involved in this campaign as UNC2452, NOBELIUM, Dark Halo, and SolarStorm.[2][3][4][5][1][6][7][8]

In April 2021, the US and UK governments attributed the SolarWinds Compromise to Russia's Foreign Intelligence Service (SVR); public statements included citations to APT29, Cozy Bear, and The Dukes.[9][10][11] The US government assessed that of the approximately 18,000 affected public and private sector customers of Solar Winds’ Orion product, a much smaller number were compromised by follow-on APT29 activity on their systems.[12]

Relationship explorer

All related ATT&CK context

Mitigations

Mitigation direction

Change history

Object version and sync metadata

The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates .

ATT&CK release
19.1
Object version
3.4
Created
Modified
Raw hash
873d8a500d24e396...
Imported snapshots across ATT&CK releases (1)
Release Bundle imported Object version Modified Status Raw hash
19.1 3.4 Current bundle 873d8a500d24…
Raw source

Mirrored ATT&CK source object

The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.

Source references

External references and citations

MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.

  1. [1]
    Mitiga

    Ariel Szarf, Doron Karmi, and Lionel Saposnik. (n.d.). Oops, I Leaked It Again — How Mitiga Found PII in Exposed Amazon RDS Snapshots. Retrieved September 24, 2024.

    Open source URL
  2. [2]
    TrendMicro Exposed Redis 2020

    David Fiser and Jaromir Horejsi. (2020, April 21). Exposed Redis Instances Abused for Remote Code Execution, Cryptocurrency Mining. Retrieved September 25, 2024.

    Open source URL
  3. [3]
    Cybernews Reuters Leak 2022

    Vilius Petkauskas . (2022, November 3). Thomson Reuters collected and leaked at least 3TB of sensitive data. Retrieved September 25, 2024.

    Open source URL
  4. [4]
    Atlassian Confluence Logging

    Atlassian. (2018, January 9). How to Enable User Access Logging. Retrieved April 4, 2018.

    Open source URL
  5. [5]
    Microsoft SharePoint Logging

    Microsoft. (2017, July 19). Configure audit settings for a site collection. Retrieved April 4, 2018.

    Open source URL
  6. [6]
    Sharepoint Sharing Events

    Microsoft. (n.d.). Sharepoint Sharing Events. Retrieved October 8, 2021.

    Open source URL
  7. [7]
    mitre-attack T1213
    Open source URL
Source and licensing

Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.