Bytedance DeerFlow Artifacts API cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.4 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Bytedance DeerFlow and classified as problematic. This vulnerability affects unknown code of the component Artifacts API. Performing a manipulation results in cross site scripting. This vulnerability is known as CVE-2026-32859. Remote exploitation of the attack is possible. No exploit is available. It is recommended to apply a patch to fix this issue.
Details
A vulnerability was found in Bytedance DeerFlow (the affected version unknown). It has been classified as problematic. This affects an unknown part of the component Artifacts API. The manipulation with an unknown input leads to a cross site scripting vulnerability. CWE is classifying the issue as CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. This is going to have an impact on integrity. The summary by CVE is:
ByteDance Deer-Flow versions prior to commit 5dbb362 contain a stored cross-site scripting vulnerability in the artifacts API that allows attackers to execute arbitrary scripts by uploading malicious HTML or script content as artifacts. Attackers can store malicious content that executes in the browser context when users view artifacts, leading to session compromise, credential theft, and arbitrary script execution.
The weakness was published by Chia Min Jun Lennon. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-32859 since 03/16/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
Applying the patch 5dbb3623b2f0e490c8bb3cd81b1e3b1b12eae1a6 is able to eliminate this problem.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
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: 3.5VulDB Meta Temp Score: 3.4
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔒
Patch: 5dbb3623b2f0e490c8bb3cd81b1e3b1b12eae1a6
Timeline
03/16/2026 CVE reserved03/27/2026 Advisory disclosed
03/27/2026 VulDB entry created
03/27/2026 VulDB entry last update
Sources
Advisory: github.comResearcher: Chia Min Jun Lennon
Status: Confirmed
CVE: CVE-2026-32859 (🔒)
GCVE (CVE): GCVE-0-2026-32859
GCVE (VulDB): GCVE-100-353895
Entry
Created: 03/27/2026 15:13Changes: 03/27/2026 15:13 (67)
Complete: 🔍
Cache ID: 216:C48:103
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