Apple iCloud up to 6.0 on Windows WebKit memory corruption

CVSS Meta Temp Score
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CTI Interest Score
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7.9$0-$5k0.00

Summaryinfo

A vulnerability was found in Apple iCloud up to 6.0 on Windows. It has been classified as critical. Affected is an unknown function of the component WebKit. Performing a manipulation results in memory corruption. This vulnerability is reported as CVE-2016-7578. No exploit exists. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability was found in Apple iCloud up to 6.0 on Windows (Cloud Software). It has been classified as critical. This affects an unknown code block of the component WebKit. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability.

The weakness was disclosed 10/27/2016 with Apple as HT207273 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. This vulnerability is uniquely identified as CVE-2016-7578. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The advisory points out:

Multiple memory corruption issues were addressed through improved memory handling.

The vulnerability scanner Nessus provides a plugin with the ID 94934 (Apple iTunes < 12.5.2 Multiple Vulnerabilities (Uncredentialed Check)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Peer-To-Peer File Sharing. The commercial vulnerability scanner Qualys is able to test this issue with plugin 370207 (Apple iTunes Prior to 12.5.2 Multiple Vulnerabilities (HT207274)).

Upgrading to version 6.0.1 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 (94934) and SecurityFocus (BID 93949†). The entries VDB-93054, VDB-93083, VDB-93122 and VDB-93121 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.0
VulDB Meta Temp Score: 7.9

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
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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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Nessus ID: 94934
Nessus Name: Apple iTunes < 12.5.2 Multiple Vulnerabilities (Uncredentialed Check)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍

OpenVAS ID: 57107
OpenVAS Name: Apple iTunes Code Execution And Information Disclosure Vulnerabilities (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: 🔍

Upgrade: iCloud 6.0.1

Timelineinfo

09/09/2016 🔍
10/27/2016 +48 days 🔍
10/27/2016 +0 days 🔍
10/28/2016 +1 days 🔍
02/20/2017 +115 days 🔍
09/28/2022 +2046 days 🔍

Sourcesinfo

Vendor: apple.com

Advisory: HT207273
Organization: Apple
Status: Confirmed

CVE: CVE-2016-7578 (🔍)
GCVE (CVE): GCVE-0-2016-7578
GCVE (VulDB): GCVE-100-93147
SecurityFocus: 93949
SecurityTracker: 1037139

See also: 🔍

Entryinfo

Created: 10/28/2016 20:09
Updated: 09/28/2022 16:52
Changes: 10/28/2016 20:09 (47), 04/28/2019 19:21 (19), 09/28/2022 16:37 (5), 09/28/2022 16:44 (11), 09/28/2022 16:52 (1)
Complete: 🔍
Cache ID: 216::103

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

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