VulnerabilityPublished 26 Aug 2025Updated 18 Jul 2026

CVE-2025-71358: Picklescan has a missing detection when calling built-in python idlelib.autocomplete.AutoComplete.get_entity

Affects picklescanSource GCVE Database

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Not known to be exploited · CVSS 8.1 High : upgrade to 0.0.29 soon.

Data as of 29 Oct 2026, 07:15 UTC

CVSS 3.1 base score

8.1High

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.3% chance of exploitation in 30 days – higher than 24% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch: Available – fixed in 0.0.29

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N

Attack Vector: Network
Attack Complexity: Low
Privileges Required: None
User Interaction: Required
Scope: Unchanged
Confidentiality: High
Integrity: High
Availability: None

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed, up to and including the entire Internet. Such a vulnerability is often termed 'remotely exploitable' and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.
Privileges Required: None: The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files to carry out an attack.
User Interaction: Required: Successful exploitation of this vulnerability requires a user to take some action before the vulnerability can be exploited.
Scope: Unchanged: An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.
Confidentiality: High: There is total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact.
Integrity: High: There is a total loss of integrity, or a complete loss of protection. For example, the attacker is able to modify any/all files protected by the impacted component. Alternatively, only some files can be modified, but malicious modification would present a direct, serious consequence to the impacted component.
Availability: None: There is no impact to availability within the impacted component.

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 26 Aug 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 29 Oct 2026.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponized: A Metasploit exploit module or Exploit-DB entry exists (Metasploit scanner modules do not count), or CISA SSVC or the CVSS exploit maturity reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Upgrade picklescan to 0.0.29.

Affected software

Product	Affected	Fixed in
PyPIpicklescan	Affected <0.0.29	Fixed in 0.0.29

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Users should verify if Picklescan has released an official fix for versions prior to 0.0.29. If you cannot patch yet, avoid loading pickle files solely based on Picklescan's detection results if they originate from untrusted sources. Consider additional manual review or alternative detection methods for pickle file safety.

Description

Picklescan versions prior to 0.0.29 fail to detect malicious pickle files that exploit the built-in Python function idlelib.autocomplete.AutoComplete.get_entity. This allows attackers to craft pickle payloads that bypass Picklescan's detection and execute arbitrary code when loaded. The vulnerability affects users relying on Picklescan to verify the safety of pickle files, particularly in contexts such as PyTorch models. Exploitation can lead to remote code execution and supply chain attacks through infected pickle files distributed in machine learning models or saved Python objects.

Impact

Any organization or individual using Picklescan to validate pickle files, especially in machine learning workflows involving PyTorch models, is at risk. The vulnerability enables attackers to embed malicious code in pickle files that evade detection and execute upon loading, potentially leading to remote code execution. This can facilitate supply chain attacks by distributing infected pickle files through ML models, APIs, or saved Python objects, compromising system integrity and confidentiality.

Summary

Picklescan, a library used to detect malicious pickle files, has a detection gap when handling payloads that use the Python built-in function idlelib.autocomplete.AutoComplete.get_entity. An attacker can craft a pickle payload whose reduce method calls this function with a malicious command, which Picklescan does not flag as dangerous. Consequently, when a victim trusts Picklescan's assessment and loads the pickle file, the malicious code executes remotely. This vulnerability is tracked as CVE-2025-71358 and affects Picklescan versions before 0.0.29.

CWE-502Deserialization of Untrusted Data (opens in a new tab)
Base weaknessLikelihood of exploit: MediumCWE Top 25 (2025): #15OWASP Top 10 A08:2025: Software or Data Integrity Failures (opens in a new tab)
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
Architecture and Design · Implementation
If available, use the signing/sealing features of the programming language to assure that deserialized data has not been tainted. For example, a hash-based message authentication code (HMAC) could be used to ensure that data has not been modified.
Implementation
When deserializing data, populate a new object rather than just deserializing. The result is that the data flows through safe input validation and that the functions are safe.
Implementation
Explicitly define a final object() to prevent deserialization.
OWASP Cheat Sheets
Abuse Case (opens in a new tab)
Deserialization (opens in a new tab)
XML Security (opens in a new tab)
XML External Entity Prevention (opens in a new tab)
Software Supply Chain Security (opens in a new tab)
OWASP ASVS 4.0.3
V1.5.2 (opens in a new tab)
V5.5.3 (opens in a new tab)
V5.5.1 (opens in a new tab)
Attack patterns
Object Injection (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 18 Jul 2026, 19:27 UTC

WeaknessesCWE-502

Technical details

References

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