tbphp GPT-Load up to 1.4.11 Gin Logger middleware /data/logs/app.log extractAuthKey key missing encryption

CVSS Meta Temp Score
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CTI Interest Score
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2.9$0-$5k0.40+

Summaryinfo

A vulnerability was found in tbphp GPT-Load up to 1.4.11. It has been classified as problematic. Affected by this issue is the function extractAuthKey of the file /data/logs/app.log of the component Gin Logger middleware. This manipulation of the argument key causes missing encryption. The identification of this vulnerability is CVE-2026-108754. The attack can only be executed locally. There is no exploit available.

Detailsinfo

A vulnerability has been found in tbphp GPT-Load up to 1.4.11 and classified as problematic. Affected by this vulnerability is the function extractAuthKey of the file /data/logs/app.log of the component Gin Logger middleware. The manipulation of the argument key with an unknown input leads to a missing encryption vulnerability. The CWE definition for the vulnerability is CWE-311. The product does not encrypt sensitive or critical information before storage or transmission. As an impact it is known to affect confidentiality. The summary by CVE is:

GPT-Load through 1.4.11 contains a cleartext logging vulnerability that exposes client proxy keys because the Gin Logger middleware records the raw query string before extractAuthKey strips the key parameter. Attackers with read access to console logs or ./data/logs/app.log can recover proxy keys from Gemini-style requests and use them against the corresponding group.

It is possible to read the advisory at hackmd.io. This vulnerability is known as CVE-2026-108754 since 10/11/2026. The exploitation appears to be difficult. Attacking locally is a requirement. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1600 according to MITRE ATT&CK.

By approaching the search of inurl:data/logs/app.log it is possible to find vulnerable targets with Google Hacking.

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

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

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: 2.9
VulDB Meta Temp Score: 2.9

VulDB Base Score: 2.5
VulDB Temp Score: 2.5
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 3.3
CNA Vector (VulnCheck): 🔒

CVSSv2info

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

Exploitinginfo

Class: Missing encryption
CWE: CWE-311 / CWE-310
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: No

Availability: 🔒
Status: Not defined
Google Hack: 🔒
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

10/11/2026 Advisory disclosed
10/11/2026 +0 days CVE reserved
10/11/2026 +0 days VulDB entry created
10/11/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: hackmd.io
Status: Not defined

CVE: CVE-2026-108754 (🔒)
GCVE (CVE): GCVE-0-2026-108754
GCVE (VulDB): GCVE-100-416659

Entryinfo

Created: 10/11/2026 15:21
Changes: 10/11/2026 15:21 (77)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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