Sony Neural Network Libraries up to 1.0.14 nbla/logger.cpp Home input validation
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.5 | $5k-$25k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Sony Neural Network Libraries up to 1.0.14. The affected element is an unknown function of the file nbla/logger.cpp. This manipulation of the argument Home as part of Environment Variable causes input validation. This vulnerability is handled as CVE-2019-10844. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability has been found in Sony Neural Network Libraries up to 1.0.14 and classified as critical. Affected by this vulnerability is some unknown functionality of the file nbla/logger.cpp. The manipulation of the argument HOME as part of a Environment Variable leads to a input validation vulnerability. The CWE definition for the vulnerability is CWE-20. The product receives input or data, but it does
not validate or incorrectly validates that the input has the
properties that are required to process the data safely and
correctly. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
nbla/logger.cpp in libnnabla.a in Sony Neural Network Libraries (aka nnabla) through v1.0.14 relies on the HOME environment variable, which might be untrusted.
The bug was discovered 07/16/2018. The weakness was released 04/04/2019. This vulnerability is known as CVE-2019-10844 since 04/04/2019. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 08/25/2023).
The vulnerability was handled as a non-public zero-day exploit for at least 262 days. During that time the estimated underground price was around $5k-$25k.
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
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.5
VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Input validationCWE: CWE-20
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 |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
07/16/2018 🔍04/04/2019 🔍
04/04/2019 🔍
04/05/2019 🔍
08/25/2023 🔍
Sources
Advisory: 209Status: Not defined
CVE: CVE-2019-10844 (🔍)
GCVE (CVE): GCVE-0-2019-10844
GCVE (VulDB): GCVE-100-133051
Entry
Created: 04/05/2019 09:03Updated: 08/25/2023 16:33
Changes: 04/05/2019 09:03 (55), 05/25/2020 17:17 (1), 08/25/2023 16:33 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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