NASA CryptoLib up to 1.3.3 Crypto_AOS_ProcessSecurity heap-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 9.8 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in NASA CryptoLib up to 1.3.3. The affected element is the function Crypto_AOS_ProcessSecurity. The manipulation leads to heap-based overflow.
This vulnerability is uniquely identified as CVE-2025-29911. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in NASA CryptoLib up to 1.3.3. It has been rated as very critical. This issue affects the function Crypto_AOS_ProcessSecurity. The manipulation with an unknown input leads to a heap-based overflow vulnerability. Using CWE to declare the problem leads to CWE-122. A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc(). Impacted is confidentiality, integrity, and availability. The summary by CVE is:
CryptoLib provides a software-only solution using the CCSDS Space Data Link Security Protocol - Extended Procedures (SDLS-EP) to secure communications between a spacecraft running the core Flight System (cFS) and a ground station. A critical heap buffer overflow vulnerability was identified in the `Crypto_AOS_ProcessSecurity` function of CryptoLib versions 1.3.3 and prior. This vulnerability allows an attacker to trigger a Denial of Service (DoS) or potentially execute arbitrary code (RCE) by providing a maliciously crafted AOS frame with an insufficient length. The vulnerability lies in the function `Crypto_AOS_ProcessSecurity`, specifically during the processing of the Frame Error Control Field (FECF). The affected code attempts to read from the `p_ingest` buffer at indices `current_managed_parameters_struct.max_frame_size - 2` and `current_managed_parameters_struct.max_frame_size - 1` without verifying if `len_ingest` is sufficiently large. This leads to a heap buffer overflow when `len_ingest` is smaller than `max_frame_size`. As of time of publication, no known patched versions exist.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2025-29911 since 03/12/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. 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 03/18/2025).
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.
Product
Vendor
Name
Version
Website
- Product: https://github.com/nasa/CryptoLib/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍
CVSSv3
VulDB Meta Base Score: 9.8VulDB Meta Temp Score: 9.8
VulDB Base Score: 9.8
VulDB Temp Score: 9.8
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Heap-based overflowCWE: CWE-122 / 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 |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
03/12/2025 🔍03/18/2025 🔍
03/18/2025 🔍
03/18/2025 🔍
Sources
Product: github.comAdvisory: GHSA-7g6g-9gj4-8c68
Status: Confirmed
CVE: CVE-2025-29911 (🔍)
GCVE (CVE): GCVE-0-2025-29911
GCVE (VulDB): GCVE-100-299987
Entry
Created: 03/18/2025 07:41Updated: 03/18/2025 12:12
Changes: 03/18/2025 07:41 (66), 03/18/2025 12:12 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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