| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.9 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in argoproj argo-workflows and classified as problematic. Affected is an unknown function of the component ZIP File Handler. Performing a manipulation results in path traversal. This vulnerability is cataloged as CVE-2025-66626. It is possible to initiate the attack remotely. There is no exploit available. The affected component should be upgraded.
Details
A vulnerability was found in argoproj argo-workflows (the affected version unknown). It has been classified as problematic. This affects an unknown part of the component ZIP File Handler. The manipulation with an unknown input leads to a path traversal vulnerability. CWE is classifying the issue as CWE-23. The product uses external input to construct a pathname that should be within a restricted directory, but it does not properly neutralize sequences such as ".." that can resolve to a location that is outside of that directory. This is going to have an impact on integrity, and availability. The summary by CVE is:
Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Versions 3.6.13 and below and versions 3.7.0 through 3.7.4, contain unsafe untar code that handles symbolic links in archives. Concretely, the computation of a link's target and the subsequent check are flawed. An attacker can overwrite the file /var/run/argo/argoexec with a script of their choice, which would be executed at the pod's start. The patch deployed against CVE-2025-62156 is ineffective against malicious archives containing symbolic links. This issue is fixed in versions 3.6.14 and 3.7.5.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-66626. The exploitability is told to be easy. It is possible to initiate the attack remotely. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1006 according to MITRE ATT&CK.
Upgrading eliminates this vulnerability.
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: 🔍
CVSSv3
VulDB Meta Base Score: 7.0VulDB Meta Temp Score: 6.9
VulDB Base Score: 5.4
VulDB Temp Score: 5.2
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔒
CNA Base Score: 8.1
CNA Vector: 🔒
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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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Path traversalCWE: CWE-23 / CWE-22
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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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Timeline
12/09/2025 Advisory disclosed12/09/2025 VulDB entry created
12/19/2025 VulDB entry last update
Sources
Advisory: github.comStatus: Confirmed
CVE: CVE-2025-66626 (🔒)
GCVE (CVE): GCVE-0-2025-66626
GCVE (VulDB): GCVE-100-335499
Entry
Created: 12/09/2025 19:49Updated: 12/19/2025 23:33
Changes: 12/09/2025 19:49 (49), 12/10/2025 09:30 (12), 12/19/2025 23:33 (11)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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