CVE-2024-27348 (GCVE-0-2024-27348)
Vulnerability from cvelistv5 – Published: 2024-04-22 14:08 – Updated: 2025-10-21 23:05- RCE-Remote Command Execution
- CWE-284 - Improper Access Control
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache HugeGraph-Server |
Affected:
1.0.0 , < 1.3.0
(semver)
|
guessed | |
| apache | hugegraph-server |
Affected:
1.0.0 , < 1.3.0
(semver)
cpe:2.3:a:apache:hugegraph-server:*:*:*:*:*:*:*:* |
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
Exploited: Yes
Timestamps
Scope
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-284 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | HugeGraph-Server |
| Due Date | 2024-10-09 |
| Date Added | 2024-09-18 |
| Vendorproject | Apache |
| Vulnerabilityname | Apache HugeGraph-Server Improper Access Control Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
Exploited: Yes
Characteristics
Timestamps
Scope
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 3 |
|---|---|
| Iot | no |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | database |
| 7D Avg | 0 |
| Vendor | Apache |
| 30D Avg | 0 |
| 90D Avg | 1 |
| Product | HugeGraph |
| Cisa Kev | yes |
| Connections | 19 |
| Observation Date | 2026-09-06 |
| Vulnerability Class | CVSS |
| Vulnerability Score | 9.8 |
| Vulnerability Severity | Critical |
References
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
Exploited: Yes
Timestamps
Scope
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | Apache HugeGraph-Server: Command execution in gremlin |
| Vendor | Apache Software Foundation |
| Product | Apache HugeGraph-Server |
| Added Date | 2024-09-18T00:00:00.000Z |
| 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
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"url": "https://lists.apache.org/thread/nx6g6htyhpgtzsocybm242781o8w5kq9"
},
{
"url": "http://www.openwall.com/lists/oss-security/2024/04/22/3"
}
],
"source": {
"discovery": "EXTERNAL"
},
"title": "Apache HugeGraph-Server: Command execution in gremlin",
"x_generator": {
"engine": "Vulnogram 0.1.0-dev"
}
}
},
"cveMetadata": {
"assignerOrgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"assignerShortName": "apache",
"cveId": "CVE-2024-27348",
"datePublished": "2024-04-22T14:08:06.294Z",
"dateReserved": "2024-02-24T10:43:56.141Z",
"dateUpdated": "2025-10-21T23:05:21.096Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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.
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.
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.