Real Networks RealOne Player 2.0 Build 6.0.11.872 AIFF File memory corruption

| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.9 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Real Networks RealOne Player 2.0 Build 6.0.11.872. It has been rated as critical. This issue affects some unknown processing of the component AIFF File Handler. Performing a manipulation results in memory corruption. This vulnerability is reported as CVE-2018-13121. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability classified as critical has been found in Real Networks RealOne Player 2.0 Build 6.0.11.872. This affects an unknown function of the component AIFF File Handler. 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 summary by CVE is:
RealOne Player 2.0 Build 6.0.11.872 allows remote attackers to cause a denial of service (array out-of-bounds access and application crash) via a crafted .aiff file.
The bug was discovered 07/02/2018. The weakness was disclosed 07/03/2018 (Website). It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2018-13121 since 07/03/2018. It is possible to initiate the attack remotely. No form of authentication is needed for 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 vulnerability was handled as a non-public zero-day exploit for at least 1 days. During that time the estimated underground price was around $0-$5k.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.9VulDB Meta Temp Score: 5.9
VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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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: Partially
Local: Yes
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: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
07/02/2018 🔍07/03/2018 🔍
07/03/2018 🔍
07/03/2018 🔍
07/04/2018 🔍
02/24/2020 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2018-13121 (🔍)
GCVE (CVE): GCVE-0-2018-13121
GCVE (VulDB): GCVE-100-120267
Entry
Created: 07/04/2018 08:47Updated: 02/24/2020 16:29
Changes: 07/04/2018 08:47 (57), 02/24/2020 16:29 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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