go-vikunja Vikunja up to 2.7.0 Image Decode resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.39+ |
Summary
A vulnerability, which was classified as problematic, has been found in go-vikunja Vikunja up to 2.7.0. Impacted is an unknown function of the component Image Decode. Performing a manipulation results in resource consumption. This vulnerability is reported as CVE-2026-123501. The attack is possible to be carried out remotely. No exploit exists. It is advisable to upgrade the affected component.
Details
A vulnerability classified as problematic has been found in go-vikunja Vikunja up to 2.7.0. This affects an unknown functionality of the component Image Decode. The manipulation with an unknown input leads to a resource consumption vulnerability. CWE is classifying the issue as CWE-400. The product does not properly control the allocation and maintenance of a limited resource. This is going to have an impact on availability. The summary by CVE is:
Vikunja before 2.7.1 contains an uncontrolled resource consumption vulnerability that allows authenticated users to exhaust server memory through concurrent image decodes in avatar and background uploads. Attackers can send several parallel tiny, highly compressible PNGs decoded at up to 50 megapixels each, pushing the API process into memory pressure or an OOM kill.
The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-123501 since 11/06/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
Upgrading to version 2.7.1 eliminates this vulnerability.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Version
Website
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: 5.3
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.5
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
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: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Vikunja 2.7.1
Timeline
11/06/2026 CVE reserved11/08/2026 Advisory disclosed
11/08/2026 VulDB entry created
11/08/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CNA: VulnCheck
CVE: CVE-2026-123501 (🔒)
GCVE (CVE): GCVE-0-2026-123501
GCVE (VulDB): GCVE-100-432657
Entry
Created: 11/08/2026 03:00Changes: 11/08/2026 03:00 (76)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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