Adobe Acrobat Reader up to 11.0.18/15.006.30244/15.020.20042 Non-Graphic Information memory corruption

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
6.9$0-$5k0.00

Summaryinfo

A vulnerability has been found in Adobe Acrobat Reader up to 11.0.18/15.006.30244/15.020.20042 and classified as critical. This affects an unknown function of the component Non-Graphic Information Handler. The manipulation leads to memory corruption. This vulnerability is uniquely identified as CVE-2017-2946. The attack is possible to be carried out remotely. No exploit exists. The affected component should be upgraded.

Detailsinfo

A vulnerability was found in Adobe Acrobat Reader up to 11.0.18/15.006.30244/15.020.20042 (Document Reader Software). It has been rated as critical. This issue affects an unknown part of the component Non-Graphic Information Handler. 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:

Adobe Acrobat Reader versions 15.020.20042 and earlier, 15.006.30244 and earlier, 11.0.18 and earlier have an exploitable heap overflow vulnerability when parsing the segment for storing non-graphic information. Successful exploitation could lead to arbitrary code execution.

The bug was discovered 01/10/2017. The weakness was disclosed 01/05/2017 by Steven Seeley with Nanyang Technological University as APSB17-01 as confirmed security bulletin (Website). It is possible to read the advisory at helpx.adobe.com. The identification of this vulnerability is CVE-2017-2946 since 12/02/2016. The attack may be initiated remotely. No form of authentication is needed for a successful 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 vulnerability scanner Nessus provides a plugin with the ID 96455 (Adobe Reader < 11.0.19 / 15.006.30279 / 15.023.20053 Multiple Vulnerabilities (APSB17-01) (macOS)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family MacOS X Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 370277 (Adobe Reader and Acrobat Multiple Vulnerabilities (APSB17-01)).

Upgrading eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at Tenable (96455) and SecurityFocus (BID 95344†). The entries VDB-95140, VDB-95141, VDB-95142 and VDB-95143 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.0
VulDB Meta Temp Score: 6.9

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
💳💳💳💳💳💳
💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock

VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-DayUnlockUnlockUnlockUnlock
TodayUnlockUnlockUnlockUnlock

Nessus ID: 96455
Nessus Name: Adobe Reader < 11.0.19 / 15.006.30279 / 15.023.20053 Multiple Vulnerabilities (APSB17-01) (macOS)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

OpenVAS ID: 103337
OpenVAS Name: Adobe Acrobat Security Updates(apsb17-01)-Windows
OpenVAS File: 🔍
OpenVAS Family: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

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

Timelineinfo

12/02/2016 🔍
01/05/2017 +34 days 🔍
01/05/2017 +0 days 🔍
01/10/2017 +5 days 🔍
01/10/2017 +0 days 🔍
01/10/2017 +0 days 🔍
01/11/2017 +1 days 🔍
01/12/2017 +1 days 🔍
10/28/2022 +2115 days 🔍

Sourcesinfo

Vendor: adobe.com

Advisory: APSB17-01
Researcher: Steven Seeley
Organization: Nanyang Technological University
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2017-2946 (🔍)
GCVE (CVE): GCVE-0-2017-2946
GCVE (VulDB): GCVE-100-95147

OVAL: 🔍

SecurityFocus: 95344 - Adobe Acrobat and Reader Multiple Unspecified Heap Buffer Overflow Vulnerabilities
OSVDB: - CVE-2017-2946 - Adobe - Multiple Products - Buffer Overflow Issue
SecurityTracker: 1037574

See also: 🔍

Entryinfo

Created: 01/11/2017 09:40
Updated: 10/28/2022 09:39
Changes: 01/11/2017 09:40 (83), 08/26/2020 10:23 (2), 10/28/2022 09:39 (3)
Complete: 🔍
Cache ID: 216::103

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

Discussion

No comments yet. Languages: en.

Please log in to comment.

◂ PreviousOverviewNext ▸

Do you want to use VulDB in your project?

Use the official API to access entries easily!