85 matches found
nCPU
A complete computer in which every layer — arithmetic, OS, compiler, display — is either a trained neural network or runs entirely on GPU. The model doesn't run on the computer. The model is the computer. nCPU is one repository pursuing one thesis from five directions: a computer can be built out...
eyeballer
Eyeballer Give those screenshots of yours a quick eyeballing. Eyeballer is meant for large-scope network penetration tests where you need to find "interesting" targets from a huge set of web-based hosts. Go ahead and use your favorite screenshotting tool like normal EyeWitness or GoWitness and th...
SynGhost
Syntactic-Ghost SynGhost SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer Contributions & Characteristics SynGhost has the following contributions To mitigate the risks of existing task-agnostic backdoors, we propose $\mathttmaxEntropy$, an entropy-based...
BIT-ELASTICSEARCH-2026-72649 Deserialization of Untrusted Data in Elasticsearch Leading to Remote Code Execution
Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface tha...
PT-2026-85125
Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface tha...
CVE-2026-72649
Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface tha...
AZL-98451 CVE-2026-72649 affecting package rubygem-elasticsearch 8.9.0-1
Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface tha...
CVE-2026-72649 Deserialization of Untrusted Data in Elasticsearch Leading to Remote Code Execution
Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface tha...
CVE-2026-72649
Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface tha...
CVE-2026-72649 Deserialization of Untrusted Data in Elasticsearch Leading to Remote Code Execution
Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface tha...
CVE-2026-72649
This CVE affects the Elasticsearch machine learning component , where a deserialization of untrusted data flaw (CWE-502) via object injection (CAPEC-586) permits remote code execution . A specially crafted trained model artifact can cause attacker-controlled logic to execute with a materially bro...
EUVD-2026-69562
Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface tha...
Elasticsearch 8.19.20, 9.4.5, 9.5.1 Security Update (ESA-2026-114)
Deserialization of Untrusted Data in Elasticsearch Leading to Remote Code Execution Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause...
PT-2026-84388
Name of the Vulnerable Software and Affected Versions Elasticsearch affected versions not specified Description Deserialization of untrusted data in the machine learning component allows remote code execution through object injection. An attacker can use a specially crafted trained model artifact...
Kibana 8.x < 8.19.20 / 9.x < 9.4.5 Multiple Vulnerabilities (ESA-2026-87 / ESA-2026-88)
The version of Kibana installed on the remote host is 8.x prior to 8.19.20, or 9.x prior to 9.4.5. It is, therefore, affected by multiple vulnerabilities as referenced in the ESA-2026-87 and ESA-2026-88 advisories. - A lower privileged user who holds only the privilege to read agent policies can...
BIT-KIBANA-2026-72671 Missing Authorization in Kibana Leading to Unauthorized Modification of Machine Learning Trained Model Space Assignments
A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jo...
BIT-ELK-2026-72671 Missing Authorization in Kibana Leading to Unauthorized Modification of Machine Learning Trained Model Space Assignments
A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jo...
PT-2026-79894
A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jo...
CVE-2026-72629 Authorization Bypass Through User-Controlled Key in Kibana Leading to Cross-Space Access to Machine Learning Trained Models
Authorization Bypass Through User-Controlled Key CWE-639 in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs CAPEC-1. The result is disclosure of inference output from a trained model in a different space that the user is not authoriz...
CVE-2026-72629
The issue CVE-2026-72629 affects Kibana and allows Authorization Bypass Through User-Controlled Key (CWE-639), enabling unauthorized cross-space access to machine learning model behavior and impacting deployment operations. According to the Elastic advisory, affected versions span all 8.19.0–8.19...