Apple iCloud up to 7.11 on Windows WebKit memory corruption

CVSS Meta Temp Score
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CTI Interest Score
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7.4$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in Apple iCloud up to 7.11 on Windows. This vulnerability affects unknown code of the component WebKit. This manipulation causes memory corruption. This vulnerability is tracked as CVE-2019-6237. The attack is possible to be carried out remotely. No exploit exists. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability has been found in Apple iCloud up to 7.11 on Windows (Cloud Software) and classified as critical. Affected by this vulnerability is an unknown functionality of the component WebKit. The manipulation with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability.

The bug was discovered 05/13/2019. The weakness was disclosed 05/28/2019 by G. Geshev with Qihoo 360 Vulcan Team as HT210125 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. This vulnerability is known as CVE-2019-6237 since 01/11/2019. The attack can be launched remotely. The exploitation doesn't need any form of authentication. 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 advisory points out:

Multiple memory corruption issues were addressed with improved memory handling.

The vulnerability was handled as a non-public zero-day exploit for at least 15 days. During that time the estimated underground price was around $5k-$25k. The commercial vulnerability scanner Qualys is able to test this issue with plugin 371712 (Apple macOS Mojave 10.14.4, Security Update 2019-002 High Sierra, Security Update 2019-002 Sierra Not Installed (APPLE-SA-2019-3-25-2)).

Upgrading to version 7.12 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 104423†). The entries VDB-119252, VDB-132233, VDB-132234 and VDB-132235 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

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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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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 7.12

Timelineinfo

06/07/2018 🔍
01/11/2019 +218 days 🔍
05/13/2019 +122 days 🔍
05/28/2019 +15 days 🔍
05/28/2019 +0 days 🔍
06/02/2019 +5 days 🔍
09/25/2023 +1576 days 🔍

Sourcesinfo

Vendor: apple.com

Advisory: HT210125
Researcher: G. Geshev
Organization: Qihoo 360 Vulcan Team
Status: Confirmed

CVE: CVE-2019-6237 (🔍)
GCVE (CVE): GCVE-0-2019-6237
GCVE (VulDB): GCVE-100-135787
SecurityFocus: 104423 - Perl CVE-2018-12015 Directory Traversal Vulnerability

See also: 🔍

Entryinfo

Created: 06/02/2019 18:11
Updated: 09/25/2023 15:40
Changes: 06/02/2019 18:11 (68), 06/18/2020 09:45 (5), 09/25/2023 15:40 (4)
Complete: 🔍
Cache ID: 216::103

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

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