IAHispano Applio up to 3.2.8-bugfix train.py export_pth information disclosure

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 (≈)
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CTI Interest Score
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6.3$0-$5k0.00

Summaryinfo

A vulnerability was found in IAHispano Applio up to 3.2.8-bugfix and classified as problematic. Affected by this issue is the function export_pth of the file train.py. Executing a manipulation can lead to information disclosure. This vulnerability is handled as CVE-2025-27784. The attack can be executed remotely. There is not any exploit available.

Detailsinfo

A vulnerability has been found in IAHispano Applio up to 3.2.8-bugfix and classified as problematic. This vulnerability affects the function export_pth of the file train.py. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. CVE summarizes:

Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to arbitrary file read in train.py's `export_pth` function. This issue may lead to reading arbitrary files on the Applio server. It can also be used in conjunction with blind server-side request forgery to read files from servers on the internal network that the Applio server has access to. As of time of publication, no known patches are available.

The advisory is shared for download at securitylab.github.com. This vulnerability was named CVE-2025-27784 since 03/06/2025. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. There are known technical details, but no exploit is available. The MITRE ATT&CK project declares the attack technique as T1592.

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

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Productinfo

Vendor

Name

Version

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: 6.4
VulDB Meta Temp Score: 6.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / 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

03/06/2025 🔍
03/19/2025 +13 days 🔍
03/19/2025 +0 days 🔍
08/01/2025 +135 days 🔍

Sourcesinfo

Advisory: GHSL-2024-341
Status: Not defined

CVE: CVE-2025-27784 (🔍)
GCVE (CVE): GCVE-0-2025-27784
GCVE (VulDB): GCVE-100-300136

Entryinfo

Created: 03/19/2025 23:05
Updated: 08/01/2025 19:35
Changes: 03/19/2025 23:05 (67), 08/01/2025 19:35 (13)
Complete: 🔍
Cache ID: 216::103

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