CVE-2021-26084 (GCVE-0-2021-26084)
Vulnerability from cvelistv5 – Published: 2021-08-30 06:30 – Updated: 2025-12-16 18:04Summary
In affected versions of Confluence Server and Data Center, an OGNL injection vulnerability exists that would allow an unauthenticated attacker to execute arbitrary code on a Confluence Server or Data Center instance. The affected versions are before version 6.13.23, from version 6.14.0 before 7.4.11, from version 7.5.0 before 7.11.6, and from version 7.12.0 before 7.12.5.
Severity
9.8 (Critical)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-16 18:01 UTC
CWE
- Remote Code Execution
- CWE-917 - Improper Neutralization of Special Elements used in an Expression Language Statement ('Expression Language Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://jira.atlassian.com/browse/CONFSERVER-67940 | x_refsource_MISC |
| http://packetstormsecurity.com/files/167449/Atlas… | x_refsource_MISC |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Atlassian | Confluence Server |
Affected:
unspecified , < 6.13.23
(custom)
Affected: 6.14.0 , < unspecified (custom) Affected: unspecified , < 7.4.11 (custom) Affected: 7.5.0 , < unspecified (custom) Affected: unspecified , < 7.11.6 (custom) Affected: 7.12.0 , < unspecified (custom) Affected: unspecified , < 7.12.5 (custom) |
|
| Atlassian | Confluence Data Center |
Affected:
unspecified , < 6.13.23
(custom)
Affected: 6.14.0 , < unspecified (custom) Affected: unspecified , < 7.4.11 (custom) Affected: 7.5.0 , < unspecified (custom) Affected: unspecified , < 7.11.6 (custom) Affected: 7.12.0 , < unspecified (custom) Affected: unspecified , < 7.12.5 (custom) |
Date Public
2021-08-10 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: da0b7391-4fbf-4d4c-8176-e29bf9831157
Exploited: Yes
Timestamps
First Seen: 2021-11-03
Asserted: 2021-11-03
Scope
Notes: Atlassian Confluence Server and Data Center Object-Graph Navigation Language (OGNL) Injection Vulnerability | Affected: Atlassian / Confluence Server and Data Center | Description: Atlassian Confluence Server and Data Server contain an Object-Graph Navigation Language (OGNL) injection vulnerability that may allow an unauthenticated attacker to execute code. | Required action: Apply updates per vendor instructions. | Due date: 2021-11-17 | Known ransomware campaign use (KEV): Known | Notes (KEV): https://nvd.nist.gov/vuln/detail/CVE-2021-26084
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-917 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Confluence Server and Data Center |
| Due Date | 2021-11-17 |
| Date Added | 2021-11-03 |
| Vendorproject | Atlassian |
| Vulnerabilityname | Atlassian Confluence Server and Data Center Object-Graph Navigation Language (OGNL) Injection Vulnerability |
| Knownransomwarecampaignuse | Known |
References
Created: 2026-10-02 08:10 CEST
| Updated: 2026-10-02 08:10 CEST
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: cd8d5867-de77-4f3b-8410-a596ab4a2e6c
Exploited: Yes
Timestamps
First Seen: 2021-11-03
Asserted: 2021-11-03
Scope
Notes: In affected versions of Confluence Server and Data Center, an OGNL injection vulnerability exists that would allow an unauthenticated attacker to... | Affected: Atlassian / Confluence Server, Confluence Data Center | CVSS: 9.8 (CRITICAL) | EPSS: 0.99999 | Used in malware: yes | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Confirmed Compromise
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | In affected versions of Confluence Server and Data Center, an OGNL injection vulnerability exists that would allow an unauthenticated attacker to... |
| Cve Id | CVE-2021-26084 |
| Vendor | Atlassian |
| Ghsa Id | None |
| Product | Confluence Server, Confluence Data Center |
| Added Date | 2021-11-03T00:00:00.000Z |
| Cvss Score | 9.8 |
| Epss Score | 0.99999 |
| Previous Ids | |
| Cvss Severity | CRITICAL |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.99993 |
| Used In Malware | yes |
| Vulnerability Id | CVE-2021-26084 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-10-02 09:10 CEST
| Updated: 2026-10-02 09:10 CEST
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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