Adobe Acrobat Reader memory corruption

CVSS Meta Temp Score
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CTI Interest Score
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7.2$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in Adobe Acrobat Reader up to 2015.006.30394/2017.011.30070/2018.009.20050. This affects an unknown part. The manipulation leads to memory corruption. This vulnerability is uniquely identified as CVE-2018-4998. The attack is possible to be carried out remotely. No exploit exists. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability was found in Adobe Acrobat Reader up to 2015.006.30394/2017.011.30070/2018.009.20050 (Document Reader Software) and classified as critical. This issue affects an unknown functionality. 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 and Reader versions 2018.009.20050 and earlier, 2017.011.30070 and earlier, and 2015.006.30394 and earlier have a Memory corruption vulnerability. Successful exploitation could lead to arbitrary code execution in the context of the current user.

The bug was discovered 05/17/2018. The weakness was disclosed 02/13/2018 by riusksk with Tencent as APSB18-02 as confirmed security bulletin (Website). It is possible to read the advisory at helpx.adobe.com. The identification of this vulnerability is CVE-2018-4998 since 01/03/2018. 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 pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 03/03/2020).

Upgrading to version 2015.006.30413, 2015.006.30416, 2017.011.30078 or 2018.011.20035 eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.

The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 104265†). The entries VDB-113849, VDB-113850, VDB-113851 and VDB-113852 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Version

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.4

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

NVD Base Score: 8.8
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: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

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

Upgrade: Acrobat Reader 2015.006.30413/2015.006.30416/2017.011.30078 /2018.011.20035

Timelineinfo

01/03/2018 🔍
02/13/2018 +41 days 🔍
02/13/2018 +0 days 🔍
05/17/2018 +93 days 🔍
05/17/2018 +0 days 🔍
07/09/2018 +52 days 🔍
07/10/2018 +1 days 🔍
03/03/2020 +602 days 🔍

Sourcesinfo

Vendor: adobe.com

Advisory: APSB18-02
Researcher: riusksk
Organization: Tencent
Status: Confirmed

CVE: CVE-2018-4998 (🔍)
GCVE (CVE): GCVE-0-2018-4998
GCVE (VulDB): GCVE-100-120947
SecurityFocus: 104265 - Adobe Acrobat and Reader CVE-2018-4998 Remote Code Execution Vulnerability

See also: 🔍

Entryinfo

Created: 07/10/2018 10:02
Updated: 03/03/2020 15:18
Changes: 07/10/2018 10:02 (66), 03/03/2020 15:18 (5)
Complete: 🔍
Cache ID: 216::103

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

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