Pyload up to 0.5.0b3.dev77 permissions

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
9.8$0-$5k0.00

Summaryinfo

A vulnerability has been found in Pyload up to 0.5.0b3.dev77 and classified as critical. The impacted element is an unknown function. The manipulation leads to permissions. This vulnerability is documented as CVE-2025-7346. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability was found in Pyload up to 0.5.0b3.dev77 and classified as very critical. This issue affects an unknown part. The manipulation with an unknown input leads to a permissions vulnerability. Using CWE to declare the problem leads to CWE-281. The product does not preserve permissions or incorrectly preserves permissions when copying, restoring, or sharing objects, which can cause them to have less restrictive permissions than intended. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

Any unauthenticated attacker can bypass the localhost restrictions posed by the application and utilize this to create arbitrary packages

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2025-7346 since 07/08/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 07/08/2025). The attack technique deployed by this issue is T1222 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 9.8
VulDB Meta Temp Score: 9.8

VulDB Base Score: 9.8
VulDB Temp Score: 9.8
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Permissions
CWE: CWE-281 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

07/08/2025 Advisory disclosed
07/08/2025 +0 days CVE reserved
07/08/2025 +0 days VulDB entry created
07/08/2025 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-x698-5hjm-w2m5
Status: Confirmed

CVE: CVE-2025-7346 (🔒)
GCVE (CVE): GCVE-0-2025-7346
GCVE (VulDB): GCVE-100-315311

Entryinfo

Created: 07/08/2025 10:09
Changes: 07/08/2025 10:09 (64)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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