Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in inference.py. model_file in inference.py as well as model_file in tts.py take user-supplied input (e.g. a path to a model) and pass that value to the change_choices and later to get_speakers_id function, which loads that model with torch.load in inference.py (line 326 in 3.2.8-bugfix), which is vulnerable to unsafe deserialization. The issue can lead to remote code execution. A patch is available on the main branch of the repository.
CVE-2025-27781
This critical-severity CVE scores 9.8 under NVD CVSS v3. EPSS exploit probability: 0.8%, top 46% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- High severity, but no confirmed exploitation yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 9.8
- EG Score
- 9.8(medium)
- EG Risk
- 75(Attend)EG Risk 75/100SSVC: Attend
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity98% × 45%Exploitation40% × 40%Automatability100% × 15%Action: Remediate soon — notable exploitation risk. - EPSS PROB
- 1%
- EPSS %ILE
- 59%
- KEV
- Not listed
Published
March 19, 2025
Last Modified
August 1, 2025
Advisory Details (5)
Auto-updated Sep 17, 2026GHSL-2024-341_GHSL-2024-353: 13 vulnerabilities found in Applio - CVE-2025-27774 to CVE-2025-27786 | GitHub Security Lab
https://securitylab.github.com/advisories/GHSL-2024-341_GHSL-2024-353_Applio/commit eb21d9dd349a (IAHispano/Applio)
Patch available: IAHispano/Applio 3.2.9 (contains commit eb21d9dd349a)
https://github.com/IAHispano/Applio/commit/eb21d9dd349a6ae1a28c440b30d306eafba65097Applio/tabs/tts/tts.py at 29b4a00e4be209f9aac51cd9ccffcc632dfb2973 · IAHispano/Applio · GitHub
https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/tts/tts.py#L50-L57Applio/tabs/inference/inference.py at 29b4a00e4be209f9aac51cd9ccffcc632dfb2973 · IAHispano/Applio · GitHub
https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L338-L345Applio/tabs/inference/inference.py at 29b4a00e4be209f9aac51cd9ccffcc632dfb2973 · IAHispano/Applio · GitHub
https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L325Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 4× in last 7d / 27× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
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Same CWE
10 shownCWE-502
Frequently asked(5)
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