CVE-2018-0832 : Detail

CVE-2018-0832

4.7
/
Medium
32.39%V3
Local
2018-02-15
02h00 +00:00
2024-09-16
18h59 +00:00
CVE.org
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CVE Descriptions

The Windows kernel in Windows 8.1 and RT 8.1, Windows Server 2012 R2, Windows 10 Gold, 1511, 1607, 1703 and 1709, Windows Server 2016 and Windows Server, version 1709 allows an information disclosure vulnerability due to how objects in memory are handled, aka "Windows Information Disclosure Vulnerability". This CVE is unique from CVE-2018-0829 and CVE-2018-0830.

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE-401 Missing Release of Memory after Effective Lifetime
The product does not sufficiently track and release allocated memory after it has been used, which slowly consumes remaining memory.

Metrics

Metrics Score Severity CVSS Vector Source
V3.0 4.7 MEDIUM CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N

Base: Exploitabilty Metrics

The Exploitability metrics reflect the characteristics of the thing that is vulnerable, which we refer to formally as the vulnerable component.

Attack Vector

This metric reflects the context by which vulnerability exploitation is possible.

Local

A vulnerability exploitable with Local access means that the vulnerable component is not bound to the network stack, and the attacker's path is via read/write/execute capabilities. In some cases, the attacker may be logged in locally in order to exploit the vulnerability, otherwise, she may rely on User Interaction to execute a malicious file.

Attack Complexity

This metric describes the conditions beyond the attacker's control that must exist in order to exploit the vulnerability.

High

A successful attack depends on conditions beyond the attacker's control. That is, a successful attack cannot be accomplished at will, but requires the attacker to invest in some measurable amount of effort in preparation or execution against the vulnerable component before a successful attack can be expected.

Privileges Required

This metric describes the level of privileges an attacker must possess before successfully exploiting the vulnerability.

Low

The attacker is authorized with (i.e. requires) privileges that provide basic user capabilities that could normally affect only settings and files owned by a user. Alternatively, an attacker with Low privileges may have the ability to cause an impact only to non-sensitive resources.

User Interaction

This metric captures the requirement for a user, other than the attacker, to participate in the successful compromise of the vulnerable component.

None

The vulnerable system can be exploited without interaction from any user.

Base: Scope Metrics

An important property captured by CVSS v3.0 is the ability for a vulnerability in one software component to impact resources beyond its means, or privileges.

Scope

Formally, Scope refers to the collection of privileges defined by a computing authority (e.g. an application, an operating system, or a sandbox environment) when granting access to computing resources (e.g. files, CPU, memory, etc). These privileges are assigned based on some method of identification and authorization. In some cases, the authorization may be simple or loosely controlled based upon predefined rules or standards. For example, in the case of Ethernet traffic sent to a network switch, the switch accepts traffic that arrives on its ports and is an authority that controls the traffic flow to other switch ports.

Unchanged

An exploited vulnerability can only affect resources managed by the same authority. In this case the vulnerable component and the impacted component are the same.

Base: Impact Metrics

The Impact metrics refer to the properties of the impacted component.

Confidentiality Impact

This metric measures the impact to the confidentiality of the information resources managed by a software component due to a successfully exploited vulnerability.

High

There is total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact. For example, an attacker steals the administrator's password, or private encryption keys of a web server.

Integrity Impact

This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information.

None

There is no loss of integrity within the impacted component.

Availability Impact

This metric measures the impact to the availability of the impacted component resulting from a successfully exploited vulnerability.

None

There is no impact to availability within the impacted component.

Temporal Metrics

The Temporal metrics measure the current state of exploit techniques or code availability, the existence of any patches or workarounds, or the confidence that one has in the description of a vulnerability.

Environmental Metrics

 nvd@nist.gov
V2 1.9 AV:L/AC:M/Au:N/C:P/I:N/A:N nvd@nist.gov

EPSS

EPSS is a scoring model that predicts the likelihood of a vulnerability being exploited.

EPSS Score

The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.
EPSS V0
EPSS V1
EPSS V2
EPSS V3
36.0036.0027.0027.0018.0018.009.009.000.000.0035.03%35.03%35.03%2.19%2.19%2.19%2.19%2.19%0.09%0.09%0.09%0.11%0.11%0.09%0.12%23.28%27.36%32.39%Jul '21Jul '2120222022Jul '22Jul '2220232023Jul '23Jul '2320242024Jul '24Jul '2420252025
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EPSS Percentile

The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.
120120100100808060604040202099%98%58%59%79%80%81%81%35%36%37%43%44%44%40%43%47%43%97%97%Jul '21Jul '2120222022Jul '22Jul '2220232023Jul '23Jul '2320242024Jul '24Jul '2420252025
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EPSS First.org

Exploit information

Exploit Database EDB-ID : 44146

Publication date : 2018-02-19 23h00 +00:00
Author : Google Security Research
EDB Verified : Yes

/*
We have discovered a new Windows kernel memory disclosure vulnerability in the creation and copying of a CONTEXT structure to user-mode memory. Two previous bugs in the nearby code area were reported in issues #1177 and #1311 ; in fact, the problem discussed here appears to be a variant of #1177 but with a different trigger (a GetThreadContext() call instead of a generated exception).
The leak was originally detected under the following stack trace:
--- cut ---
kd> k
# ChildEBP RetAddr
00 a5d2b8f4 81ec3e30 nt!RtlpCopyLegacyContextX86+0x16e
01 a5d2b91c 82218aec nt!RtlpCopyExtendedContext+0x70
02 a5d2b96c 8213a22a nt!RtlpWriteExtendedContext+0x66
03 a5d2bd18 822176bc nt!PspGetContextThreadInternal+0x1c6
04 a5d2bd44 81fccca7 nt!NtGetContextThread+0x54
05 a5d2bd44 77a41670 nt!KiSystemServicePostCall
--- cut ---
and more specifically in the copying of the _FLOATING_SAVE_AREA structure when the CONTEXT_FLOATING_POINT flags are set:
--- cut ---
kd> dt _FLOATING_SAVE_AREA
ntdll!_FLOATING_SAVE_AREA
+0x000 ControlWord : Uint4B
+0x004 StatusWord : Uint4B
 
 
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Products Mentioned

Configuraton 0

Microsoft>>Windows_10 >> Version -

Microsoft>>Windows_10 >> Version 1511

Microsoft>>Windows_10 >> Version 1607

Microsoft>>Windows_10 >> Version 1703

Microsoft>>Windows_10 >> Version 1709

Microsoft>>Windows_8.1 >> Version *

Microsoft>>Windows_rt_8.1 >> Version -

Microsoft>>Windows_server_2012 >> Version r2

Microsoft>>Windows_server_2016 >> Version -

Microsoft>>Windows_server_2016 >> Version 1709

References

https://www.exploit-db.com/exploits/44146/
Tags : exploit, x_refsource_EXPLOIT-DB
http://www.securityfocus.com/bid/102923
Tags : vdb-entry, x_refsource_BID
http://www.securitytracker.com/id/1040373
Tags : vdb-entry, x_refsource_SECTRACK