Discord-Agora Kernel interactions.py information disclosure
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in Discord-Agora Kernel. Affected by this vulnerability is an unknown functionality of the file interactions.py. The manipulation leads to information disclosure. This vulnerability is listed as CVE-2025-26604. The attack may be initiated remotely. There is no available exploit. It is suggested to install a patch to address this issue.
Details
A vulnerability was found in Discord-Agora Kernel (the affected version is unknown). It has been rated as problematic. This issue affects an unknown code of the file interactions.py. The manipulation with an unknown input leads to a information disclosure vulnerability. Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality. The summary by CVE is:
Discord-Bot-Framework-Kernel is a Discord bot framework built with interactions.py, featuring modular extension management and secure execution. Because of the nature of arbitrary user-submited code execution, this allows user to execute potentially malicious code to perform damage or extract sensitive information. By loading the module containing the following code and run the command, the bot token can be extracted. Then the attacker can load a blocking module to sabotage the bot (DDoS attack) and the token can be used to make the fake bot act as the real one. If the bot has very high privilege, the attacker basically has full control before the user kicks the bot. Any Discord user that hosts Discord-Bot-Framework-Kernel before commit f0d9e70841a0e3170b88c4f8d562018ccd8e8b14 is affected. Users are advised to upgrade. Users unable to upgrade may attempt to limit their discord bot's access via configuration options.
The advisory is shared at github.com. The identification of this vulnerability is CVE-2025-26604 since 02/12/2025. The exploitation is known to be easy. The attack may be initiated remotely. Additional levels of successful authentication are necessary for exploitation. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1592 for this issue.
Applying a patch is able to eliminate this problem.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.3
VulDB Base Score: 2.4
VulDB Temp Score: 2.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 8.3
CNA Vector (GitHub_M): 🔍
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 |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Information disclosureCWE: CWE-200 / CWE-284 / CWE-266
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 |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔍
Timeline
02/12/2025 🔍02/18/2025 🔍
02/18/2025 🔍
02/18/2025 🔍
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2025-26604 (🔍)
GCVE (CVE): GCVE-0-2025-26604
GCVE (VulDB): GCVE-100-296153
Entry
Created: 02/18/2025 20:42Changes: 02/18/2025 20:42 (62)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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