CVE-2018-1000861 (GCVE-0-2018-1000861)
Vulnerability from cvelistv5 – Published: 2018-12-10 14:00 – Updated: 2025-10-21 23:45Summary
A code execution vulnerability exists in the Stapler web framework used by Jenkins 2.153 and earlier, LTS 2.138.3 and earlier in stapler/core/src/main/java/org/kohsuke/stapler/MetaClass.java that allows attackers to invoke some methods on Java objects by accessing crafted URLs that were not intended to be invoked this way.
Severity
9.8 (Critical)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-07 16:28 UTC
CWE
- n/a
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://jenkins.io/security/advisory/2018-12-05/#… | x_refsource_CONFIRM |
| https://access.redhat.com/errata/RHBA-2019:0024 | vendor-advisoryx_refsource_REDHAT |
| http://www.securityfocus.com/bid/106176 | vdb-entryx_refsource_BID |
| http://packetstormsecurity.com/files/166778/Jenki… | x_refsource_MISC |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Date Public
2018-12-10 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 812e1ff5-1449-4378-bbc3-65ad133150d5
Exploited: Yes
Timestamps
First Seen: 2022-02-10
Asserted: 2022-02-10
Scope
Notes: KEV entry: Jenkins Stapler Web Framework Deserialization of Untrusted Data Vulnerability | Affected: Jenkins / Jenkins Stapler Web Framework | Description: A code execution vulnerability exists in the Stapler web framework used by Jenkins | Required action: Apply updates per vendor instructions. | Due date: 2022-08-10 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://nvd.nist.gov/vuln/detail/CVE-2018-1000861
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-502 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Jenkins Stapler Web Framework |
| Due Date | 2022-08-10 |
| Date Added | 2022-02-10 |
| Vendorproject | Jenkins |
| Vulnerabilityname | Jenkins Stapler Web Framework Deserialization of Untrusted Data Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-02-02 12:28 UTC
| Updated: 2026-02-06 07:17 UTC
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 68b2c6bc-b72b-4ca4-9e9a-e85bf2e48655
Exploited: Yes
Characteristics
Severity:
98.0
Timestamps
First Seen: 2024-10-17
Asserted: 2024-10-17
Last Seen: 2024-10-17
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: Jenkins / Jenkins | Class: other-software | Severity: Critical (CVSS 9.8) | IoT: no | In CISA KEV: yes | Honeypot connections on 2023-02-27: 2
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 1 |
|---|---|
| Iot | no |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | other-software |
| 7D Avg | 0 |
| Vendor | Jenkins |
| 30D Avg | 0 |
| 90D Avg | 0 |
| Product | Jenkins |
| Cisa Kev | yes |
| Connections | 2 |
| Observation Date | 2023-02-27 |
| Vulnerability Class | CVSS |
| Vulnerability Score | 9.8 |
| Vulnerability Severity | Critical |
References
Created: 2026-06-30 09:23 UTC
| Updated: 2026-06-30 15:34 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 149c98ac-0a07-4b00-b308-875dd4fca958
Exploited: Yes
Timestamps
First Seen: 2022-02-10
Asserted: 2022-02-10
Scope
Notes: KEVIntel entry: A code execution vulnerability exists in the Stapler web framework used by Jenkins 2.153 and earlier, LTS 2.138.3 and earlier in... | Affected: Jenkins / Jenkins | CVSS: 9.8 (CRITICAL) | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | A code execution vulnerability exists in the Stapler web framework used by Jenkins 2.153 and earlier, LTS 2.138.3 and earlier in... |
| Vendor | Jenkins |
| Product | Jenkins |
| Added Date | 2022-02-10T00:00:00.000Z |
| Cvss Score | 9.8 |
| Epss Score | None |
| Cvss Severity | CRITICAL |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-06-23 14:04 UTC
| Updated: 2026-07-10 06:14 UTC
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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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