Microsoft Edge on Win10/Server 2016 _SelectValueInternal information disclosure

CVSS Meta Temp Score
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CTI Interest Score
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4.2$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in Microsoft Edge on Win10/Server 2016. Affected is the function CInputDateTimeScrollerElement::_SelectValueInternal. Performing a manipulation results in information disclosure. This vulnerability is reported as CVE-2017-8644. The attack is possible to be carried out remotely. Moreover, an exploit is present. To fix this issue, it is recommended to deploy a patch.

Detailsinfo

A vulnerability was found in Microsoft Edge on Win10/Server 2016 (Web Browser) (version now known). It has been classified as problematic. This affects the function CInputDateTimeScrollerElement::_SelectValueInternal. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. The summary by CVE is:

Microsoft Edge in Microsoft Windows 10 Gold, 1511, 1607, 1703, and Windows Server 2016 allows an attacker to disclose information due to the way that Microsoft Edge handles objects in memory, aka "Microsoft Edge Information Disclosure Vulnerability". This CVE ID is unique from CVE-2017-8652 and CVE-2017-8662.

The bug was discovered 08/08/2017. The weakness was disclosed 08/08/2017 by Ivan Fratric with Google Project Zero as KB4034658 as confirmed security update guide (Website). It is possible to read the advisory at portal.msrc.microsoft.com. This vulnerability is uniquely identified as CVE-2017-8644 since 05/03/2017. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details and a public exploit are known. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK. The advisory points out:

An information disclosure vulnerability exists when Microsoft Edge improperly handles objects in memory. An attacker who successfully exploited the vulnerability could obtain information to further compromise the user’s system.

A public exploit has been developed by Google Security Research in HTML/Javascript and been published 2 weeks after the advisory. The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept. We expect the 0-day to have been worth approximately $25k-$100k. The vulnerability scanner Nessus provides a plugin with the ID 102264 (KB4034658: Windows 10 Version 1607 and Windows Server 2016 August 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 91406 (Microsoft Edge Security Update for August 2017). The code used by the exploit is:

<!-- saved from url=(0014)about:internet -->
<style>
input:focus { transform: scale(10); }
</style>
<input autofocus="autofocus" type="time">

Applying the patch KB4034658 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 Exploit-DB (42459), Tenable (102264) and SecurityFocus (BID 100044†). The entries VDB-104989, VDB-104990, VDB-104991 and VDB-105007 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.2

VulDB Base Score: 4.3
VulDB Temp Score: 3.9
VulDB Vector: 🔍
VulDB Reliability: 🔍

Vendor Base Score (Microsoft): 4.3
Vendor Vector (Microsoft): 🔍

NVD Base Score: 4.3
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Author: Google Security Research
Programming Language: 🔍
Download: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 102264
Nessus Name: KB4034658: Windows 10 Version 1607 and Windows Server 2016 August 2017 Cumulative Update
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

OpenVAS ID: 802136
OpenVAS Name: Microsoft Windows Multiple Vulnerabilites (KB4034674)
OpenVAS File: 🔍
OpenVAS Family: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Exploit-DB: 🔍

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Patch
Status: 🔍

Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Exploit Delay Time: 🔍

Patch: KB4034658

Timelineinfo

05/03/2017 🔍
08/08/2017 +97 days 🔍
08/08/2017 +0 days 🔍
08/08/2017 +0 days 🔍
08/08/2017 +0 days 🔍
08/08/2017 +0 days 🔍
08/08/2017 +0 days 🔍
08/09/2017 +1 days 🔍
08/16/2017 +7 days 🔍
08/16/2017 +0 days 🔍
12/14/2025 +3041 days 🔍

Sourcesinfo

Vendor: microsoft.com

Advisory: KB4034658
Researcher: Ivan Fratric
Organization: Google Project Zero
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2017-8644 (🔍)
GCVE (CVE): GCVE-0-2017-8644
GCVE (VulDB): GCVE-100-105027

OVAL: 🔍

SecurityFocus: 100044 - Microsoft Edge CVE-2017-8644 Information Disclosure Vulnerability
SecurityTracker: 1039101

scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 08/09/2017 12:02
Updated: 12/14/2025 00:12
Changes: 08/09/2017 12:02 (93), 11/09/2019 11:35 (13), 01/07/2021 19:11 (2), 12/14/2025 00:12 (15)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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