liftoff-sr CIPster up to 632336d414ef708a542377c1aa8d6fdb7c70a760 cipepath.cc deserialize_symbolic out-of-bounds
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.8 | $0-$5k | 1.45+ |
Summary
A vulnerability was found in liftoff-sr CIPster up to 632336d414ef708a542377c1aa8d6fdb7c70a760. It has been classified as problematic. This affects the function CipAppPath::deserialize_symbolic of the file source/src/cip/cipepath.cc. Performing a manipulation results in out-of-bounds.
This vulnerability is known as CVE-2026-16013. Remote exploitation of the attack is possible. Furthermore, an exploit is available.
This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability classified as problematic has been found in liftoff-sr CIPster up to 632336d414ef708a542377c1aa8d6fdb7c70a760. This affects the function CipAppPath::deserialize_symbolic of the file source/src/cip/cipepath.cc. The manipulation with an unknown input leads to a out-of-bounds vulnerability. CWE is classifying the issue as CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. This is going to have an impact on availability.
The weakness was published by Chuan Wei (weicrsec) as 53 as confirmed issue (GitHub). It is possible to read the advisory at github.com. The vendor was not involved in the public release. This vulnerability is uniquely identified as CVE-2026-16013. 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 and a public exploit are known.
A public exploit has been developed by Chuan Wei (weicrsec) in Python. The exploit is shared for download at github.com. It is declared as proof-of-concept.
Applying the patch 886a4d090e1c5b0475f0b1c2fe0606a8f0d6a519 is able to eliminate this problem. The bugfix is ready for download at github.com.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 4.8
VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Out-of-boundsCWE: CWE-125 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Author: Chuan Wei (weicrsec)
Programming Language: 🔒
Download: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔒
Patch: 886a4d090e1c5b0475f0b1c2fe0606a8f0d6a519
Timeline
07/17/2026 Advisory disclosed07/17/2026 VulDB entry created
07/17/2026 VulDB entry last update
Sources
Product: github.comAdvisory: 53
Researcher: Chuan Wei (weicrsec)
Status: Confirmed
CVE: CVE-2026-16013 (🔒)
GCVE (CVE): GCVE-0-2026-16013
GCVE (VulDB): GCVE-100-379755
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 07/17/2026 07:39Updated: 07/17/2026 07:47
Changes: 07/17/2026 07:39 (60), 07/17/2026 07:47 (11)
Complete: 🔍
Submitter: VULL
Committer: VULL
Cache ID: 216::103
Submit
Accepted
- Submit #856794: liftoff-sr CIPster master commit 632336d414ef708a542377c1aa8d6fdb7c70a760 Out-of-bounds Read (by VULL)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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