| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.0 | $5k-$25k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Apple iOS up to 8.4.1. This impacts an unknown function of the component Data Detectors Engine. This manipulation causes memory corruption. The identification of this vulnerability is CVE-2015-5829. There is no exploit available. You should upgrade the affected component.
Details
A vulnerability classified as critical was found in Apple iOS up to 8.4.1 (Smartphone Operating System). Affected by this vulnerability is some unknown functionality of the component Data Detectors Engine. 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 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 shared 09/16/2015 by Filippo Bigarella (M1x7e1) as HT205212 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. This vulnerability is known as CVE-2015-5829 since 08/06/2015. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 06/15/2022). It is expected to see the exploit prices for this product increasing in the near future.
Upgrading to version 9 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 76764†). The entries VDB-9015, VDB-68413, VDB-77828 and VDB-77762 are related to this item. Statistical analysis made it clear that VulDB provides the best quality 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 |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Upgrade: iOS 9
Timeline
08/06/2015 🔍09/16/2015 🔍
09/16/2015 🔍
09/16/2015 🔍
09/18/2015 🔍
09/18/2015 🔍
06/15/2022 🔍
Sources
Vendor: apple.comAdvisory: HT205212
Researcher: Filippo Bigarella (M1x7e1)
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2015-5829 (🔍)
GCVE (CVE): GCVE-0-2015-5829
GCVE (VulDB): GCVE-100-77779
SecurityFocus: 76764 - Apple iOS APPLE-SA-2015-09-16-1 Multiple Security Vulnerabilities
SecurityTracker: 1033609
scip Labs: https://www.scip.ch/en/?labs.20150917
See also: 🔍
Entry
Created: 09/18/2015 13:09Updated: 06/15/2022 23:32
Changes: 09/18/2015 13:09 (48), 12/25/2017 12:28 (15), 06/15/2022 23:32 (3)
Complete: 🔍
Cache ID: 216:9F4:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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