FalkorDB up to 4.18.0 RDB Graph Decoder decode_graph_entities.c RdbLoadDeletedNodes use after free
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 9.6 | $0-$5k | 4.58+ |
Summary
A vulnerability marked as very critical has been reported in FalkorDB up to 4.18.0. Affected by this issue is the function RdbLoadDeletedNodes of the file decode_graph_entities.c of the component RDB Graph Decoder. Performing a manipulation results in use after free.
This vulnerability was named CVE-2026-5759. The attack may be initiated remotely. There is no available exploit.
It is suggested to upgrade the affected component.
Details
A vulnerability, which was classified as very critical, was found in FalkorDB up to 4.18.0. This affects the function RdbLoadDeletedNodes of the file decode_graph_entities.c of the component RDB Graph Decoder. 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:
A double free and use-after-free vulnerability in the RdbLoadDeletedNodes function of the RDB graph decoders (src/serializers/decoders/*/decode_graph_entities.c) in FalkorDB before 4.18.1 allows a remote attacker who can issue Redis replication commands (for example, against an instance with no password configured) to cause a denial of service or execute arbitrary code in the redis-server process by supplying a crafted RDB stream whose deleted-nodes buffer length is not a multiple of sizeof(NodeID). The length check relies on ASSERT(), which is compiled out in release builds, so the function continues after freeing the buffer, reading it and freeing it a second time.
The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-5759 since 04/07/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/09/2026).
Upgrading to version 4.18.1 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-95473). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
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: 9.9VulDB Meta Temp Score: 9.6
VulDB Base Score: 10.0
VulDB Temp Score: 9.5
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 9.8
CNA Vector (securin): 🔒
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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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Use after freeCWE: CWE-416 / CWE-119
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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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: FalkorDB 4.18.1
Timeline
04/07/2026 CVE reserved10/09/2026 Advisory disclosed
10/09/2026 VulDB entry created
10/09/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-5759 (🔒)
GCVE (CVE): GCVE-0-2026-5759
GCVE (VulDB): GCVE-100-415713
EUVD: 🔒
Entry
Created: 10/09/2026 06:41Updated: 10/09/2026 08:45
Changes: 10/09/2026 06:41 (77), 10/09/2026 08:45 (1)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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