NumPy 1.9.x ctors.c PyArray_NewFromDescr_int buffer overflow ⚔ [Disputed]
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.4 | $0-$5k | 0.00 |
Summary
A vulnerability labeled as critical has been found in NumPy 1.9.x. This affects the function PyArray_NewFromDescr_int of the file ctors.c. Such manipulation leads to buffer overflow.
This vulnerability is uniquely identified as CVE-2021-33430. No exploit exists.
The presence of this vulnerability remains uncertain at this time.
Details
A vulnerability was found in NumPy 1.9.x. It has been rated as problematic. Affected by this issue is the function PyArray_NewFromDescr_int of the file ctors.c. The manipulation with an unknown input leads to a buffer overflow vulnerability. Using CWE to declare the problem leads to CWE-120. The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. Impacted is availability. CVE summarizes:
A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user
The weakness was disclosed 12/17/2021 as 18939. The advisory is available at github.com. This vulnerability is handled as CVE-2021-33430 since 05/20/2021. Technical details are known, but there is no available exploit.
The real existence of this vulnerability is still doubted at the moment.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
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Product
Name
Version
Website
- Product: https://github.com/numpy/numpy/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.4VulDB Meta Temp Score: 4.4
VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.3
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Buffer overflowCWE: CWE-120 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
05/20/2021 🔍12/17/2021 🔍
12/17/2021 🔍
08/04/2024 🔍
Sources
Product: github.comAdvisory: 18939
Status: Confirmed
Disputed: 🔍
CVE: CVE-2021-33430 (🔍)
GCVE (CVE): GCVE-0-2021-33430
GCVE (VulDB): GCVE-100-188702
Entry
Created: 12/17/2021 22:47Updated: 08/04/2024 03:35
Changes: 12/17/2021 22:47 (38), 12/24/2021 13:43 (1), 12/24/2021 13:49 (18), 06/05/2024 11:36 (25), 08/04/2024 03:35 (2)
Complete: 🔍
Cache ID: 216::103
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