Microsoft Windows up to Server 2016 PDF Library memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.7 | $5k-$25k | 0.00 |
Summary
A vulnerability marked as critical has been reported in Microsoft Windows up to Server 2016. Affected is an unknown function of the component PDF Library. The manipulation leads to memory corruption. This vulnerability is listed as CVE-2017-8737. The attack may be initiated remotely. There is no available exploit. To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability was found in Microsoft Windows up to Server 2016 (Operating System). It has been rated as critical. This issue affects an unknown code of the component PDF Library. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Microsoft Windows PDF Library in Microsoft Windows 8.1 and Windows RT 8.1, Windows Server 2012 and R2, Windows 10 Gold, 1511, 1607, 1703, and Windows Server 2016 allows an attacker to execute arbitrary code in the context of the current user, due to the way that Windows PDF Library handles objects in memory, aka "Windows PDF Remote Code Execution Vulnerability". This CVE ID is unique from CVE-2017-8728.
The bug was discovered 09/12/2017. The weakness was presented 09/12/2017 with Zero Day Initiative as KB4038799 as confirmed security update guide (Website). It is possible to read the advisory at portal.msrc.microsoft.com. The identification of this vulnerability is CVE-2017-8737 since 05/03/2017. The exploitation is known to be difficult. The attack may be initiated remotely. A simple authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 01/12/2021). The advisory points out:
A remote code execution vulnerability exists when Microsoft Windows PDF Library improperly handles objects in memory. The vulnerability could corrupt memory in a way that enables an attacker to execute arbitrary code in the context of the current user. An attacker who successfully exploited the vulnerability could gain the same user rights as the current user. If the current user is logged on with administrative user rights, an attacker could take control of an affected system. An attacker could then install programs; view, change, or delete data; or create new accounts with full user rights.
The vulnerability scanner Nessus provides a plugin with the ID 103128 (KB4038782: Windows 10 Version 1607 and Windows Server 2016 September 2017 Cumulative Update), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Windows : Microsoft Bulletins and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 91409 (Microsoft Edge Security Update for September 2017).
Applying the patch KB4038799 is able to eliminate this problem. The bugfix is ready for download at catalog.update.microsoft.com. A possible mitigation has been published immediately after the disclosure of the vulnerability.
The vulnerability is also documented in the databases at Tenable (103128) and SecurityFocus (BID 100749†). See VDB-106500, VDB-106501, VDB-106506 and VDB-106507 for similar entries. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.microsoft.com/
- Product: https://www.microsoft.com/en-us/windows
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.9VulDB Meta Temp Score: 4.8
VulDB Base Score: 4.6
VulDB Temp Score: 4.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
Vendor Base Score (Microsoft): 2.6
Vendor Vector (Microsoft): 🔍
NVD Base Score: 7.5
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: Memory corruptionCWE: 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 |
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| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 103128
Nessus Name: KB4038782: Windows 10 Version 1607 and Windows Server 2016 September 2017 Cumulative Update
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
OpenVAS ID: 802136
OpenVAS Name: Microsoft Windows Server 2012 Multiple Vulnerabilities (KB4038799)
OpenVAS File: 🔍
OpenVAS Family: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Patch: KB4038799
Timeline
05/03/2017 🔍09/12/2017 🔍
09/12/2017 🔍
09/12/2017 🔍
09/12/2017 🔍
09/12/2017 🔍
09/12/2017 🔍
09/13/2017 🔍
01/12/2021 🔍
Sources
Vendor: microsoft.comProduct: microsoft.com
Advisory: KB4038799
Researcher: Giwan Go
Organization: Zero Day Initiative
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2017-8737 (🔍)
GCVE (CVE): GCVE-0-2017-8737
GCVE (VulDB): GCVE-100-106523
OVAL: 🔍
SecurityFocus: 100749 - Microsoft Windows PDF CVE-2017-8737 Remote Code Execution Vulnerability
SecurityTracker: 1039327
scip Labs: https://www.scip.ch/en/?labs.20161215
See also: 🔍
Entry
Created: 09/13/2017 14:31Updated: 01/12/2021 11:12
Changes: 09/13/2017 14:31 (90), 06/06/2020 11:03 (6), 01/12/2021 11:06 (2), 01/12/2021 11:12 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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