| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.8 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in Langroid. Impacted is an unknown function of the component TableChatAgent. Performing a manipulation results in code injection. This vulnerability was named CVE-2026-25481. The attack may be initiated remotely. There is no available exploit. It is advisable to upgrade the affected component.
Details
A vulnerability classified as critical has been found in Langroid. This affects an unknown functionality of the component TableChatAgent. The manipulation with an unknown input leads to a code injection vulnerability. CWE is classifying the issue as CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Langroid is a framework for building large-language-model-powered applications. Prior to version 0.59.32, there is a bypass to the fix for CVE-2025-46724. TableChatAgent can call pandas_eval tool to evaluate the expression. There is a WAF in langroid/utils/pandas_utils.py introduced to block code injection CVE-2025-46724. However it can be bypassed due to _literal_ok() returning False instead of raising UnsafeCommandError on invalid input, combined with unrestricted access to dangerous dunder attributes (__init__, __globals__, __builtins__). This allows chaining whitelisted DataFrame methods to leak the eval builtin and execute arbitrary code. This issue has been patched in version 0.59.32.
The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-25481. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1059 for this issue.
Upgrading to version 0.59.32 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-6105). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
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: 7.9VulDB Meta Temp Score: 7.8
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 9.6
NVD Vector: 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Code injectionCWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
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: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Langroid 0.59.32
Timeline
02/03/2026 Advisory disclosed02/03/2026 VulDB entry created
02/21/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Confirmed
CVE: CVE-2026-25481 (🔒)
GCVE (CVE): GCVE-0-2026-25481
GCVE (VulDB): GCVE-100-343953
EUVD: 🔒
Entry
Created: 02/03/2026 08:33Updated: 02/21/2026 09:41
Changes: 02/03/2026 08:33 (51), 02/05/2026 13:48 (13), 02/19/2026 12:52 (1), 02/21/2026 09:41 (12)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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