HEASARC CFITSIO up to 4.7.0 HCOMPRESS tile decoder fits_hdecompress.c input_nnybble out-of-bounds
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 0.81 |
Summary
A vulnerability was found in HEASARC CFITSIO up to 4.7.0. It has been classified as problematic. This impacts an unknown function of the file fits_hdecompress.c of the component HCOMPRESS tile decoder. The manipulation of the argument input_nnybble leads to out-of-bounds. This vulnerability is listed as CVE-2026-111125. The attack must be carried out locally. There is no available exploit.
Details
A vulnerability was found in HEASARC CFITSIO up to 4.7.0. It has been rated as problematic. This issue affects an unknown code block of the file fits_hdecompress.c of the component HCOMPRESS tile decoder. The manipulation of the argument input_nnybble with an unknown input leads to a out-of-bounds vulnerability. Using CWE to declare the problem leads to CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
CFITSIO through 4.7.0 contains a heap-based out-of-bounds read vulnerability in the HCOMPRESS tile decoder that allows attackers to read past the compressed tile buffer via input_nnybble in fits_hdecompress.c. Attackers can supply a crafted FITS file with ZCMPTYPE HCOMPRESS_1 declaring oversized tile geometry to crash applications calling fits_read_pix or disclose limited heap memory.
It is possible to read the advisory at hackmd.io. The identification of this vulnerability is CVE-2026-111125 since 10/15/2026. The exploitation is known to be easy. Attacking locally is a requirement. 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.
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: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.4
VulDB Base Score: 4.8
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.1
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Out-of-boundsCWE: CWE-125 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Partially
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
10/15/2026 Advisory disclosed10/15/2026 CVE reserved
10/15/2026 VulDB entry created
10/15/2026 VulDB entry last update
Sources
Advisory: hackmd.ioStatus: Not defined
CVE: CVE-2026-111125 (🔒)
GCVE (CVE): GCVE-0-2026-111125
GCVE (VulDB): GCVE-100-420803
Entry
Created: 10/15/2026 21:14Changes: 10/15/2026 21:14 (75)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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