English
Français
Light
Dark
System

Alert System

Stay informed at all times
Create an account Open a free account Login Manage your alerts

CVE-2016-8807 : Detail

CVE-2016-8807

7.8
/
HIGH
A01-Broken Access Control
0.07%V3
Local
2016-11-08 19:37 +00:00
2017-09-02 07:57 +00:00
CVE.org
NVD

Alert for a CVE

Stay informed of any changes for a specific CVE.
Alert management

Descriptions

For the NVIDIA Quadro, NVS, and GeForce products, NVIDIA Windows GPU Display Driver R340 before 342.00 and R375 before 375.63 contains a vulnerability in the kernel mode layer (nvlddmkm.sys) handler for DxgDdiEscape ID 0x10000e9 where a value is passed from an user to the driver is used without validation as the size input to memcpy() causing a stack buffer overflow, leading to denial of service or potential escalation of privileges.

Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE-264 Category : Permissions, Privileges, and Access Controls
Weaknesses in this category are related to the management of permissions, privileges, and other security features that are used to perform access control.

Metrics

Metric Score Severity CVSS Vector Source
V3.0 7.8 HIGH CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

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.

Low

Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.

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.

High

There is a total loss of integrity, or a complete loss of protection. For example, the attacker is able to modify any/all files protected by the impacted component. Alternatively, only some files can be modified, but malicious modification would present a direct, serious consequence to the impacted component.

Availability Impact

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

High

There is total loss of availability, resulting in the attacker being able to fully deny access to resources in the impacted component; this loss is either sustained (while the attacker continues to deliver the attack) or persistent (the condition persists even after the attack has completed). Alternatively, the attacker has the ability to deny some availability, but the loss of availability presents a direct, serious consequence to the impacted component (e.g., the attacker cannot disrupt existing connections, but can prevent new connections; the attacker can repeatedly exploit a vulnerability that, in each instance of a successful attack, leaks a only small amount of memory, but after repeated exploitation causes a service to become completely unavailable).

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 7.2 AV:L/AC:L/Au:N/C:C/I:C/A:C 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 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.
EPSS First.org

Exploit information

Exploit Database EDB-ID : 40668

Publication date : 2016-10-30 23:00 +00:00
Author : Google Security Research
EDB Verified : Yes

Source: https://bugs.chromium.org/p/project-zero/issues/detail?id=947 The escape handler for 0x10000e9 lacks bounds checks, and passes a user specified size as the size to memcpy, resulting in a stack buffer overflow: bool escape_10000e9(NvMiniportDeviceContext *a1, Escape10000e9 *escape) { ... LOBYTE(a9) = escape_->unknown_5[1] != 0; LOBYTE(a8) = escape_->unknown_5[0] != 0; if ( !sub_DC57C( *(_QWORD *)(*(_QWORD *)(v4 + 104) + 1000i64), escape_->unknown_1, escape_->unknown_2, escape_->unknown_3, escape_->unknown_4, escape_->data, escape_->size, a8, a9, &escape_->unknown_5[2]) ) return 0; escape_->header.result = 1; return 1; } char sub_DC57C(...) { ... // escape_buf is escape_->data from previous function // buf_size is escape->size memcpy(&stack_buf, escape_buf, (unsigned int)buf_size); ... Crashing context (Win 10 x64, 372.54): DRIVER_OVERRAN_STACK_BUFFER (f7) A driver has overrun a stack-based buffer. This overrun could potentially allow a malicious user to gain control of this machine. ... STACK_TEXT: ffffd000`263bc188 fffff803`9d1deaf2 : 9d919d43`2d3cc8a7 00000000`000000f7 ffffd000`263bc2f0 fffff803`9d03c848 : nt!DbgBreakPointWithStatus ffffd000`263bc190 fffff803`9d1de4c3 : 00000000`00000003 ffffd000`263bc2f0 fffff803`9d16c600 00000000`000000f7 : nt!KiBugCheckDebugBreak+0x12 ffffd000`263bc1f0 fffff803`9d15fa44 : 00000000`00000000 00000000`00000000 00000000`00000000 ffffc000`494d4764 : nt!KeBugCheck2+0x893 ffffd000`263bc900 fffff800`ad8c2bc6 : 00000000`000000f7 9d919d43`2d3cc8a7 0000f6ec`74dc94fc ffff0913`8b236b03 : nt!KeBugCheckEx+0x104 ffffd000`263bc940 fffff800`ad7fc6f7 : c0004492`55400400 ffff8000`00000000 ffffc000`44925540 00000000`00000000 : nvlddmkm+0x192bc6 ffffd000`263bc980 ffffc000`585e78a0 : 00000000`000005d4 00430043`00310030 4666744e`03610107 00000000`00000000 : nvlddmkm+0xcc6f7 ffffd000`263bce70 00000000`000005d4 : 00430043`00310030 4666744e`03610107 00000000`00000000 00000c48`01380702 : 0xffffc000`585e78a0 ffffd000`263bce78 00430043`00310030 : 4666744e`03610107 00000000`00000000 00000c48`01380702 00010000`000166c2 : 0x5d4 ffffd000`263bce80 4666744e`03610107 : 00000000`00000000 00000c48`01380702 00010000`000166c2 00000000`00000000 : 0x00430043`00310030 ffffd000`263bce88 00000000`00000000 : 00000c48`01380702 00010000`000166c2 00000000`00000000 00000000`00000000 : 0x4666744e`03610107 Proof of Concept: https://gitlab.com/exploit-database/exploitdb-bin-sploits/-/raw/main/bin-sploits/40668.zip

Products Mentioned

Configuraton 0

Nvidia>>Gpu_driver >> Version From (including) 340 To (excluding) 342.00

Nvidia>>Gpu_driver >> Version From (including) 375 To (excluding) 375.63

Microsoft>>Windows >> Version *

References

https://www.exploit-db.com/exploits/40668/
Tags : exploit, x_refsource_EXPLOIT-DB
http://www.securityfocus.com/bid/94002
Tags : vdb-entry, x_refsource_BID

More information
Click on the button to the left (OFF), to authorize the inscription of cookie improving the functionalities of the site. Click on the button to the left (Accept all), to unauthorize the inscription of cookie improving the functionalities of the site.