obsidianforensics unfurl up to 2026.3 Decompression parse_compressed.py parse_compressed allocation of resources
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in obsidianforensics unfurl up to 2026.3. Affected by this issue is the function parse_compressed of the file parse_compressed.py of the component Decompression Handler. This manipulation causes allocation of resources.
This vulnerability is tracked as CVE-2026-40036. The attack is possible to be carried out remotely. No exploit exists.
It is recommended to upgrade the affected component.
Details
A vulnerability has been found in obsidianforensics unfurl up to 2026.3 and classified as problematic. Affected by this vulnerability is the function parse_compressed of the file parse_compressed.py of the component Decompression Handler. The manipulation with an unknown input leads to a allocation of resources vulnerability. The CWE definition for the vulnerability is CWE-770. The product allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor. As an impact it is known to affect availability. The summary by CVE is:
Unfurl before 2026.04 contains an unbounded zlib decompression vulnerability in parse_compressed.py that allows remote attackers to cause denial of service. Attackers can submit highly compressed payloads via URL parameters to the /json/visjs endpoint that expand to gigabytes, exhausting server memory and crashing the service.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-40036 since 04/08/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
Upgrading to version 2026.04 eliminates this vulnerability. The upgrade is hosted for download at github.com.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
Website
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: 6.4VulDB Meta Temp Score: 6.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (VulnCheck): 🔒
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: Allocation of resourcesCWE: CWE-770 / CWE-400 / CWE-404
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: 🔒
Upgrade: unfurl 2026.04
Timeline
04/08/2026 CVE reserved04/09/2026 Advisory disclosed
04/09/2026 VulDB entry created
04/09/2026 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-h5qv-qjv4-pc5m
Status: Confirmed
CVE: CVE-2026-40036 (🔒)
GCVE (CVE): GCVE-0-2026-40036
GCVE (VulDB): GCVE-100-356467
Entry
Created: 04/09/2026 02:41Changes: 04/09/2026 02:41 (79)
Complete: 🔍
Cache ID: 216:2C1:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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