CVE-2017-8046 (GCVE-0-2017-8046)
Vulnerability from cvelistv5 – Published: 2018-01-04 06:00 – Updated: 2024-08-05 16:19Summary
Malicious PATCH requests submitted to servers using Spring Data REST versions prior to 2.6.9 (Ingalls SR9), versions prior to 3.0.1 (Kay SR1) and Spring Boot versions prior to 1.5.9, 2.0 M6 can use specially crafted JSON data to run arbitrary Java code.
Severity
9.8 (Critical)
CWE
- run arbitrary Java code
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://pivotal.io/security/cve-2017-8046 | x_refsource_CONFIRM |
| https://access.redhat.com/errata/RHSA-2018:2405 | vendor-advisoryx_refsource_REDHAT |
| http://www.securityfocus.com/bid/100948 | vdb-entryx_refsource_BID |
| https://www.exploit-db.com/exploits/44289/ | exploitx_refsource_EXPLOIT-DB |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Pivotal | Pivotal Spring Data REST and Spring Boot |
Affected:
Pivotal Spring Data REST versions prior to 2.6.9 (Ingalls SR9), 3.0.1 (Kay SR1) and Spring Boot versions prior to 1.5.9, 2.0 M6
|
guessed |
Date Public
2018-01-04 00:00
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 8c5dddde-1f99-4d64-bf04-1043911ca589
Exploited: Yes
Characteristics
Severity:
98.0
Timestamps
First Seen: 2024-01-06
Asserted: 2024-01-06
Last Seen: 2024-01-11
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: Spring / Spring Data REST | Class: other-software | Severity: Critical (CVSS 9.8) | IoT: no | In CISA KEV: no | Honeypot connections on 2024-01-11: 8
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 2 |
|---|---|
| Iot | no |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | other-software |
| 7D Avg | 1 |
| Vendor | Spring |
| 30D Avg | 0 |
| 90D Avg | 0 |
| Product | Spring Data REST |
| Cisa Kev | no |
| Connections | 8 |
| Observation Date | 2024-01-11 |
| Vulnerability Class | CVSS |
| Vulnerability Score | 9.8 |
| Vulnerability Severity | Critical |
References
Created: 2026-06-30 10:00 UTC
| Updated: 2026-06-30 14:18 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: ced2f555-eb8e-40bc-afb4-dafcf5700406
Exploited: Yes
Timestamps
First Seen: 2018-01-04
Asserted: 2018-01-04
Scope
Notes: KEVIntel entry: Malicious PATCH requests submitted to servers using Spring Data REST versions prior to 2.6.9 (Ingalls SR9), versions prior to 3.0.1 (Kay SR1) and... | Affected: Pivotal / Pivotal Spring Data REST and Spring Boot | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | Malicious PATCH requests submitted to servers using Spring Data REST versions prior to 2.6.9 (Ingalls SR9), versions prior to 3.0.1 (Kay SR1) and... |
| Vendor | Pivotal |
| Product | Pivotal Spring Data REST and Spring Boot |
| Added Date | 2018-01-04T06:00:00.000Z |
| Cvss Score | None |
| Epss Score | None |
| Cvss Severity | None |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-06-23 14:06 UTC
| Updated: 2026-07-10 06:14 UTC
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"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2018-01-04T06:29:00.307",
"references": [
{
"source": "security_alert@emc.com",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/100948"
},
{
"source": "security_alert@emc.com",
"url": "https://access.redhat.com/errata/RHSA-2018:2405"
},
{
"source": "security_alert@emc.com",
"tags": [
"Vendor Advisory"
],
"url": "https://pivotal.io/security/cve-2017-8046"
},
{
"source": "security_alert@emc.com",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "https://www.exploit-db.com/exploits/44289/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/100948"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://access.redhat.com/errata/RHSA-2018:2405"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://pivotal.io/security/cve-2017-8046"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "https://www.exploit-db.com/exploits/44289/"
}
],
"sourceIdentifier": "security_alert@emc.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Critical",
"current_release_date": "2026-08-04T18:37:02+00:00",
"cve": "CVE-2017-8046",
"id": "CVE-2017-8046",
"initial_release_date": "2017-01-01T00:00:00+00:00",
"product_status:fixed": "1",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "spring-boot: Malicious PATCH requests submitted to servers can use specially crafted JSON data to run arbitrary Java code",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2017/cve-2017-8046.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "critical",
"current_release_date": "2025-02-18T07:47:45Z",
"cve": "CVE-2017-8046",
"id": "CVE-2017-8046",
"initial_release_date": "2023-02-15T04:46:23Z",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2017-8046",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2017-8046.json",
"version": "4"
}
}
}
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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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