| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.5 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in PicoC 2.1 and classified as critical. This affects the function StringStrcpy in the library cstdlib/string.c. This manipulation causes memory corruption.
This vulnerability is handled as CVE-2019-16277. It is possible to launch the attack on the local host. There is not any exploit available.
Details
A vulnerability has been found in PicoC 2.1 and classified as critical. Affected by this vulnerability is the function StringStrcpy in the library cstdlib/string.c. The manipulation with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
PicoC 2.1 has a heap-based buffer overflow in StringStrcpy in cstdlib/string.c when called from ExpressionParseFunctionCall in expression.c.
The weakness was released 09/13/2019. This vulnerability is known as CVE-2019-16277 since 09/13/2019. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.5VulDB Meta Temp Score: 6.5
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
NVD Vector: 🔍
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: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
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
09/13/2019 🔍09/13/2019 🔍
09/14/2019 🔍
12/25/2023 🔍
Sources
Advisory: 44Status: Not defined
CVE: CVE-2019-16277 (🔍)
GCVE (CVE): GCVE-0-2019-16277
GCVE (VulDB): GCVE-100-141781
Entry
Created: 09/14/2019 17:54Updated: 12/25/2023 08:25
Changes: 09/14/2019 17:54 (35), 08/24/2020 15:48 (17), 12/25/2023 08:25 (4)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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