CVE-2025-61910 (GCVE-0-2025-61910)
Vulnerability from cvelistv5 – Published: 2025-10-07 19:31 – Updated: 2025-10-07 19:57
VLAI
EPSS
VEX
Title
NASA ION-DTN BPv7 4.1.3s Uncontrolled Memory Allocation that leads to Denial-of-Service
Summary
The NASA’s Interplanetary Overlay Network (ION) is an implementation of Delay/Disruption Tolerant Networking (DTN). A BPv7 bundle with a malformed extension block causes uncontrolled memory allocation inside ION-DTN 4.1.3s, leading to receiver thread termination and a Denial-of-Service (DoS). The triggering bundle contains an extension block starting at `0x85070201005bbb0e20b4ea001a000927c0...`. The first byte in the extension block (0x85) indicates a CBOR array of five elements of which the first four are numbers (0x07, 0x02, 0x01, 0x00) but the fifth element is a byte string of length 27 (`0x5bbb0e20b4ea001a000927c0...`). The vulnerability seems to be due to processing the fifth element of the array (i.e., the byte string) as replacing it with a number makes the vulnerability no longer be triggered. While parsing this extension block, ION obtains a very large block length, which in the code in `bei.c`:764) seems to be passed from `blockLength` which is an unsigned int, to a 32 bit signed integer `blkSize`. The unsigned to signed conversion causes `blkSize` to hold the value of -369092043, which is then converted into a 64-bit unsigned value inside `MTAKE(blkSize)`, resulting in an attempt to allocate an unrealistic amount of memory, causing the error. As of time of publication, no known patched versions of BPv7 exist.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-07 19:56 UTC
CWE
- CWE-789 - Memory Allocation with Excessive Size Value
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/nasa-jpl/ION-DTN/security/advi… | x_refsource_CONFIRM |
| https://github.com/nasa-jpl/ION-DTN/blob/ion-open… | x_refsource_MISC |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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