AutoTrace 0.31.1 input-pnm.c pnm_load_raw out-of-bounds write
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.4 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in AutoTrace 0.31.1. Impacted is the function pnm_load_raw of the file input-pnm.c. Performing a manipulation results in out-of-bounds write.
This vulnerability is reported as CVE-2017-9158. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability, which was classified as problematic, was found in AutoTrace 0.31.1 (Image Processing Software). This affects the function pnm_load_raw of the file input-pnm.c. The manipulation with an unknown input leads to a out-of-bounds write vulnerability. CWE is classifying the issue as CWE-787. The product writes data past the end, or before the beginning, of the intended buffer. This is going to have an impact on availability. The summary by CVE is:
libautotrace.a in AutoTrace 0.31.1 allows remote attackers to cause a denial of service (invalid write and SEGV), related to the pnm_load_raw function in input-pnm.c:336:11.
The bug was discovered 05/20/2017. The weakness was disclosed 05/23/2017 (Website). It is possible to read the advisory at blogs.gentoo.org. This vulnerability is uniquely identified as CVE-2017-9158 since 05/22/2017. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit.
The vulnerability was handled as a non-public zero-day exploit for at least 3 days. During that time the estimated underground price was around $0-$5k.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The entries VDB-101660, VDB-101661, VDB-101662 and VDB-101663 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.4
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
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: Out-of-bounds writeCWE: CWE-787 / CWE-119
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
05/20/2017 🔍05/22/2017 🔍
05/23/2017 🔍
05/23/2017 🔍
05/23/2017 🔍
10/02/2020 🔍
Sources
Advisory: blogs.gentoo.orgStatus: Not defined
CVE: CVE-2017-9158 (🔍)
GCVE (CVE): GCVE-0-2017-9158
GCVE (VulDB): GCVE-100-101667
OSVDB: - CVE-2017-9158 - Autotrace Project - Autotrace - Medium
See also: 🔍
Entry
Created: 05/23/2017 12:52Updated: 10/02/2020 10:42
Changes: 05/23/2017 12:52 (58), 10/02/2020 10:42 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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