| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.8 | $0-$5k | 0.00 |
Summary
A vulnerability was found in DeepDiff and classified as problematic. This vulnerability affects the function _RestrictedUnpickler. The manipulation results in resource consumption.
This vulnerability is cataloged as CVE-2026-33155. The attack may be launched remotely. Furthermore, there is an exploit available.
Details
A vulnerability classified as problematic has been found in DeepDiff (the affected version is unknown). Affected is the function _RestrictedUnpickler. 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. CVE summarizes:
DeepDiff is a project focused on Deep Difference and search of any Python data. From version 5.0.0 to before version 8.6.2, the pickle unpickler _RestrictedUnpickler validates which classes can be loaded but does not limit their constructor arguments. A few of the types in SAFE_TO_IMPORT have constructors that allocate memory proportional to their input (builtins.bytes, builtins.list, builtins.range). A 40-byte pickle payload can force 10+ GB of memory, which crashes applications that load delta objects or call pickle_load with untrusted data. This issue has been patched in version 8.6.2.
The advisory is shared for download at github.com. This vulnerability is traded as CVE-2026-33155. The exploitability is told to be easy. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. Technical details and a public exploit are known. The MITRE ATT&CK project declares the attack technique as T1499.
The exploit is shared for download at github.com. It is declared as proof-of-concept. The vulnerability scanner Nessus provides a plugin with the ID 303257 (Linux Distros Unpatched Vulnerability : CVE-2026-33155), which helps to determine the existence of the flaw in a target environment.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at Tenable (303257). Once again VulDB remains the best source for vulnerability data.
Product
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: 5.3VulDB Meta Temp Score: 4.8
VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
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: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 303257
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2026-33155
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
03/19/2026 Advisory disclosed03/19/2026 VulDB entry created
03/27/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2026-33155 (🔒)
GCVE (CVE): GCVE-0-2026-33155
GCVE (VulDB): GCVE-100-351684
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/19/2026 09:31Updated: 03/27/2026 02:58
Changes: 03/19/2026 09:31 (51), 03/22/2026 18:30 (2), 03/27/2026 02:58 (14)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.
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