rust-ffmpeg up to 0.3.0 Data Structure write_interleaved use after free

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.1$0-$5k0.00

Summaryinfo

A vulnerability was found in rust-ffmpeg up to 0.3.0. It has been rated as critical. This affects the function write_interleaved of the component Data Structure Handler. Performing a manipulation results in use after free. This vulnerability only affects products that are no longer supported by the maintainer. This vulnerability was named CVE-2025-57616. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability, which was classified as critical, was found in rust-ffmpeg up to 0.3.0. This affects the function write_interleaved of the component Data Structure Handler. The manipulation with an unknown input leads to a use after free vulnerability. CWE is classifying the issue as CWE-416. Referencing memory after it has been freed can cause a program to crash, use unexpected values, or execute code. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

An issue was discovered in rust-ffmpeg 0.3.0 (after comit 5ac0527) A use-after-free vulnerability in the write_interleaved method allows an attacker to cause a denial of service or memory corruption. The method violates Rust's aliasing rules by modifying a data structure through a mutable pointer while only holding an immutable reference, which can lead to undefined behavior when the data is accessed later.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-57616 since 08/17/2025. The exploitability is told to be easy. 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. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 09/02/2025).

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.

Productinfo

Type

Name

Version

Support

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.1

VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Use after free
CWE: CWE-416 / 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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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

08/17/2025 CVE reserved
09/02/2025 +16 days Advisory disclosed
09/02/2025 +0 days VulDB entry created
09/02/2025 +0 days VulDB entry last update

Sourcesinfo

Advisory: 192
Status: Not defined

CVE: CVE-2025-57616 (🔒)
GCVE (CVE): GCVE-0-2025-57616
GCVE (VulDB): GCVE-100-322203

Entryinfo

Created: 09/02/2025 20:25
Changes: 09/02/2025 20:25 (56)
Complete: 🔍
Cache ID: 216::103

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

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