| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.0 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Apple Watch up to 1.0.2 and classified as critical. The affected element is an unknown function of the component Data Detectors Engine. The manipulation leads to memory corruption. This vulnerability is referenced as CVE-2015-5829. No exploit is available. The affected component should be upgraded.
Details
A vulnerability, which was classified as critical, has been found in Apple Watch up to 1.0.2 (Smartwatch Operating System). This issue affects an unknown part of the component Data Detectors Engine. 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:
Data Detectors Engine in Apple iOS before 9 allows remote attackers to execute arbitrary code or cause a denial of service (memory corruption) via a crafted text file.
The weakness was published 09/23/2015 by Filippo Bigarella (M1x7e1) as HT205213 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. The identification of this vulnerability is CVE-2015-5829 since 08/06/2015. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The advisory points out:
Memory corruption issues existed in the processing of text files. These issues were addressed through improved bounds checking.
Upgrading to version 2 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 SecurityFocus (BID 76764†) and Vulnerability Center (SBV-52869†). Similar entries are available at VDB-9015, VDB-68413, VDB-77828 and VDB-77762. Be aware that VulDB is the high quality source for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.apple.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 7.0
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
Reaction Time: 🔍
Exposure Time: 🔍
Upgrade: Watch 2
Timeline
08/06/2015 🔍09/16/2015 🔍
09/18/2015 🔍
09/21/2015 🔍
09/22/2015 🔍
09/23/2015 🔍
09/23/2015 🔍
09/28/2015 🔍
06/19/2022 🔍
Sources
Vendor: apple.comAdvisory: HT205213
Researcher: Filippo Bigarella (M1x7e1)
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2015-5829 (🔍)
GCVE (CVE): GCVE-0-2015-5829
GCVE (VulDB): GCVE-100-78095
SecurityFocus: 76764 - Apple iOS APPLE-SA-2015-09-16-1 Multiple Security Vulnerabilities
SecurityTracker: 1033609
Vulnerability Center: 52869 - Apple watchOS <2 Remote Code Execution or DoS in Data Detectors Engine, Medium
See also: 🔍
Entry
Created: 09/28/2015 10:05Updated: 06/19/2022 10:53
Changes: 09/28/2015 10:05 (56), 01/03/2018 09:45 (12), 06/19/2022 10:53 (3)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.

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