CVE-2024-4032VulnerabilityPublished 17 Jun 2024Updated 3 Nov 2025

CVE-2024-4032: Python Software Foundation CPython · Vulnerability

Affects Python Software Foundation CPythonSource CVE Database V5

Not known to be exploited · CVSS 7.5 High.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score

7.5High

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

EPSS: 1.0% chance of exploitation in 30 days – higher than 64% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

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

Attack Vector: Network
Attack Complexity: Low
Privileges Required: None
User Interaction: None
Scope: Unchanged
Confidentiality: High
Integrity: None
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: None: The vulnerable system can be exploited without any interaction from any user.
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: None: There is no loss of integrity within 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 17 Jun 2024
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: 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 2026-10-25.

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.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC 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

Affected software

Product	Affected	Fixed in
PyPIcpython`pkg:pypi/cpython`Other threats	Affected =0 =3.9.0 =3.10.0 =3.11.0 =3.12.0 =3.13.0	Fixed in–

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

AI-suggested

European organizations should immediately upgrade affected Python environments to CPython versions 3.12.4 or 3.13.0a6 or later, which contain the corrected ipaddress module data. For environments where immediate upgrading is not feasible, organizations should implement compensating controls such as manual validation of IP address classifications against the latest IANA Special-Purpose Address Registries or use alternative libraries with verified address classification. Network security teams should audit firewall and access control rules that rely on Python ipaddress module outputs to ensure no misconfigurations exist due to this vulnerability. Incorporating additional network monitoring to detect anomalous access patterns involving IP addresses previously misclassified can help identify exploitation attempts. Organizations should also review and update internal policies and automation scripts that depend on the ipaddress module to ensure they handle IP address classifications correctly. Maintaining awareness of updates from the Python Software Foundation and applying patches promptly is critical. Finally, penetration testing and vulnerability scanning should include checks for this specific vulnerability to validate remediation.

Description

The “ipaddress” module contained incorrect information about whether certain IPv4 and IPv6 addresses were designated as “globally reachable” or “private”. This affected the is_private and is_global properties of the ipaddress.IPv4Address, ipaddress.IPv4Network, ipaddress.IPv6Address, and ipaddress.IPv6Network classes, where values wouldn’t be returned in accordance with the latest information from the IANA Special-Purpose Address Registries. CPython 3.12.4 and 3.13.0a6 contain updated information from these registries and thus have the intended behavior.

Impact

For European organizations, this vulnerability could lead to improper network access control and filtering decisions, potentially exposing internal systems or sensitive data to unauthorized external entities. Organizations using Python in network security appliances, firewall configurations, cloud infrastructure automation, or any software that programmatically validates IP addresses may inadvertently trust addresses that should be private or block legitimate global addresses, disrupting services or enabling data exfiltration. Critical infrastructure sectors such as finance, telecommunications, healthcare, and government services that rely on Python-based tools for network management are at heightened risk. The confidentiality of internal communications and data could be compromised if attackers exploit this misclassification to bypass security controls. Additionally, compliance with data protection regulations like GDPR could be impacted if unauthorized access leads to personal data exposure. The absence of required privileges or user interaction for exploitation increases the risk of automated or remote attacks.

CWE-697Incorrect Comparison (opens in a new tab)
Pillar weakness
The product compares two entities in a security-relevant context, but the comparison is incorrect.
MITRE discourages mapping vulnerabilities to this broad entry; the root cause is usually a more specific weakness.
Attack patterns
Buffer Overflow via Environment Variables (opens in a new tab)
Double Encoding (opens in a new tab)
Client-side Injection-induced Buffer Overflow (opens in a new tab)
Command Delimiters (opens in a new tab)
Flash Injection (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

Community reviews

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 3 Nov 2025, 22:23 UTC

WeaknessesCWE-697

Technical details

References

Community reviews

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