Apache Any23 up to 2.7 TikaEncodingDetector memory allocation

| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.1 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Apache Any23 up to 2.7. This affects an unknown function of the component TikaEncodingDetector. The manipulation leads to memory allocation. This vulnerability only affects products that are no longer supported by the maintainer. This vulnerability is referenced as CVE-2023-34150. No exploit is available.
Details
A vulnerability was found in Apache Any23 up to 2.7. It has been rated as problematic. This issue affects some unknown functionality of the component TikaEncodingDetector. The manipulation with an unknown input leads to a memory allocation vulnerability. Using CWE to declare the problem leads to CWE-789. The product allocates memory based on an untrusted, large size value, but it does not ensure that the size is within expected limits, allowing arbitrary amounts of memory to be allocated. Impacted is availability. The summary by CVE is:
** UNSUPPORTED WHEN ASSIGNED ** Use of TikaEncodingDetector in Apache Any23 can cause excessive memory usage.
The weakness was published 07/04/2023. It is possible to read the advisory at seclists.org. The identification of this vulnerability is CVE-2023-34150 since 05/28/2023. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 06/05/2024).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Support
Website
- Vendor: https://www.apache.org/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.1VulDB Meta Temp Score: 5.1
VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.3
NVD Vector: 🔍
CNA Base Score: 6.5
CNA Vector (Apache Software Foundation): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Memory allocationCWE: CWE-789 / CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
05/28/2023 🔍07/04/2023 🔍
07/04/2023 🔍
06/05/2024 🔍
Sources
Vendor: apache.orgAdvisory: seclists.org
Status: Confirmed
CVE: CVE-2023-34150 (🔍)
GCVE (CVE): GCVE-0-2023-34150
GCVE (VulDB): GCVE-100-232955
Entry
Created: 07/04/2023 21:34Updated: 06/05/2024 16:04
Changes: 07/04/2023 21:34 (38), 07/23/2023 09:04 (1), 07/23/2023 09:06 (21), 06/05/2024 16:04 (15)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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