x-image up to 0.37.x on Go TIFF File Parser resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.2 | $0-$5k | 0.00 |
Summary
A vulnerability was found in x-image up to 0.37.x on Go. It has been rated as problematic. This vulnerability affects unknown code of the component TIFF File Parser. Performing a manipulation results in resource consumption. This vulnerability is reported as CVE-2026-33809. The attack is possible to be carried out remotely. No exploit exists. Upgrading the affected component is advised.
Details
A vulnerability classified as problematic has been found in x-image up to 0.37.x on Go. This affects an unknown function of the component TIFF File Parser. The manipulation with an unknown input leads to a resource consumption vulnerability. CWE is classifying the issue as CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. This is going to have an impact on availability. The summary by CVE is:
A maliciously crafted TIFF file can cause image decoding to attempt to allocate up 4GiB of memory, causing either excessive resource consumption or an out-of-memory error.
This vulnerability is uniquely identified as CVE-2026-33809 since 03/23/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
The vulnerability scanner Nessus provides a plugin with the ID 303764 (Linux Distros Unpatched Vulnerability : CVE-2026-33809), which helps to determine the existence of the flaw in a target environment.
Upgrading to version 0.38.0 eliminates this vulnerability.
The vulnerability is also documented in the databases at Tenable (303764) and CERT Bund (WID-SEC-2026-1653). Be aware that VulDB is the high quality source for vulnerability data.
Affected
- Amazon Linux 2
- Red Hat Enterprise Linux
- Fedora Linux
- Ubuntu Linux
- SUSE Linux
- Oracle Linux
- RESF Rocky Linux
- IBM MQ
- Golang Go
- SUSE openSUSE
- Red Hat OpenShift
Product
Name
Version
- 0.1
- 0.2
- 0.3
- 0.4
- 0.5
- 0.6
- 0.7
- 0.8
- 0.9
- 0.10
- 0.11
- 0.12
- 0.13
- 0.14
- 0.15
- 0.16
- 0.17
- 0.18
- 0.19
- 0.20
- 0.21
- 0.22
- 0.23
- 0.24
- 0.25
- 0.26
- 0.27
- 0.28
- 0.29
- 0.30
- 0.31
- 0.32
- 0.33
- 0.34
- 0.35
- 0.36
- 0.37
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.2
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
ADP CISA Base Score: 5.3
ADP CISA Vector: 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Resource consumptionCWE: 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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Nessus ID: 303764
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2026-33809
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: x-image 0.38.0
Timeline
03/23/2026 CVE reserved03/25/2026 Advisory disclosed
03/25/2026 VulDB entry created
07/08/2026 VulDB entry last update
Sources
Status: ConfirmedCVE: CVE-2026-33809 (🔒)
GCVE (CVE): GCVE-0-2026-33809
GCVE (VulDB): GCVE-100-353367
CERT Bund: WID-SEC-2026-1653 - Golang Go-Module (Net, Image, Crypto: Mehrere Schwachstellen
Entry
Created: 03/25/2026 19:53Updated: 07/08/2026 04:15
Changes: 03/25/2026 19:53 (53), 03/26/2026 19:29 (2), 04/01/2026 13:04 (11), 05/23/2026 08:09 (7), 06/17/2026 16:02 (1), 06/19/2026 13:44 (1), 07/05/2026 01:03 (1), 07/08/2026 04:15 (1)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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