CVE-2016-10135 : Detail

CVE-2016-10135

5.5
/
Sedang
0.23%V4
2017-01-13
09h00 +00:00
A01-Broken Access Control
Local
2024-08-06
03h14 +00:00
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Deskripsi CVE

An issue was discovered on LG devices using the MTK chipset with L(5.0/5.1), M(6.0/6.0.1), and N(7.0) software, and RCA Voyager Tablet, BLU Advance 5.0, and BLU R1 HD devices. The MTKLogger app with a package name of com.mediatek.mtklogger has application components that are accessible to any application that resides on the device. Namely, the com.mediatek.mtklogger.framework.LogReceiver and com.mediatek.mtklogger.framework.MTKLoggerService application components are exported since they contain an intent filter, are not protected by a custom permission, and do not explicitly set the android:exported attribute to false. Therefore, these components are exported by default and are thus accessible to any third party application by using android.content.Intent object for communication. These application components can be used to start and stop the logs using Intent objects with embedded data. The available logs are the GPS log, modem log, network log, and mobile log. The base directory that contains the directories for the 4 types of logs is /sdcard/mtklog which makes them accessible to apps that require the READ_EXTERNAL_STORAGE permission. The GPS log contains the GPS coordinates of the user as well as a timestamp for the coordinates. The modem log contains AT commands and their parameters which allow the user's outgoing and incoming calls and text messages to be obtained. The network log is a tcpdump network capture. The mobile log contains the Android log, which is not available to third-party apps as of Android 4.1. The LG ID is LVE-SMP-160019.

Informasi CVE

Kelemahan Terkait

CWE-ID Nama Kelemahan Sumber
CWE-200 Exposure of Sensitive Information to an Unauthorized Actor
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.

Metrik

Metrik Skor Tingkat keparahan CVSS Vektor Sumber
V3.0 5.5 MEDIUM CVSS:3.0/AV:L/AC:L/PR:N/UI:R/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.

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.

None

The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files to carry out an attack.

User Interaction

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

Required

Successful exploitation of this vulnerability requires a user to take some action before the vulnerability can be exploited. For example, a successful exploit may only be possible during the installation of an application by a system administrator.

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

EPSS

EPSS adalah model penilaian yang memprediksi kemungkinan suatu kerentanan dieksploitasi.

Skor EPSS

Model EPSS menghasilkan skor probabilitas antara 0 dan 1 (0 hingga 100%). Semakin tinggi skor, semakin besar probabilitas bahwa suatu kerentanan akan dieksploitasi.

Persentil EPSS

Persentil digunakan untuk meranking CVE berdasarkan skor EPSS mereka. Misalnya, CVE di persentil ke-95 berdasarkan skor EPSS-nya lebih mungkin dieksploitasi daripada 95% CVE lainnya. Dengan demikian, persentil digunakan untuk membandingkan skor EPSS suatu CVE dengan CVE lainnya.

Produk yang Disebutkan

Konfigurasi 0

Lg>>Lg_mobile >> Version 5.0

Lg>>Lg_mobile >> Version 5.1

Lg>>Lg_mobile >> Version 6.0

Lg>>Lg_mobile >> Version 6.0.1

Lg>>Lg_mobile >> Version 7.0

Referensi

http://www.securityfocus.com/bid/96846
Tags : vdb-entry, x_refsource_BID