scikit-learn Denial of Service

svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence standard with a large value in the nsupport array. NOT...

GHSA-JJW5-XXJ6-PCV5 scikit-learn Deserialization of Untrusted Data

scikit-learn aka sklearn through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load function, if reduce makes an os.system call. NOTE: third parties dispute this issue because the joblib.load function is documented as unsafe and it is the user's...

scikit-learn Deserialization of Untrusted Data

scikit-learn aka sklearn through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load function, if reduce makes an os.system call. NOTE: third parties dispute this issue because the joblib.load function is documented as unsafe and it is the user's...

graduation_design

This is a Python script for a web intrusion detection system using machine learning. The script uses the scikit-learn library to implement a supervised learning approach. It collects and preprocesses normal requests and attack payloads, and uses a Support Vector Machine SVM to classify new reques...

SciKit-Learn 0.23.2 Denial Of Service Vulnerability

SciKit-Learn 0.23.2 Denial Of Service Description svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence...

SciKit-Learn 0.23.2 Denial Of Service

Description svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence technique with a large value in the nsuppo...

CVE-2020-28975

svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence standard with a large value in the nsupport array. NOT...

CVE-2020-28975

svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence standard with a large value in the nsupport array. NOT...

Design/Logic Flaw

svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence standard with a large value in the nsupport array. NOT...

PYSEC-2020-108

DISPUTED svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence standard with a large value in the nsupport...

CVE-2020-28975

svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence standard with a large value in the nsupport array. NOT...

UBUNTU-CVE-2020-28975

DISPUTED svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence standard with a large value in the nsupport...

CVE-2020-28975

svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence standard with a large value in the nsupport array. NOT...

CVE-2020-28975

CVE-2020-28975 affects Libsvm v324 (svm_predict_values in svm.cpp), as used by scikit-learn 0.23.2 and related products. An attacker can trigger a denial of service (segmentation fault) by feeding a crafted SVM model with a large value in the _n_support array. Several connected sources confirm th...

PT-2020-6980 · Unknown +1 · Scikit-Learn +1

Name of the Vulnerable Software and Affected Versions: Libsvm version v324 scikit-learn version 0.23.2 Description: The issue is related to the svm predict values function in svm.cpp of Libsvm, which can cause a denial of service segmentation fault when a crafted model SVM with a large value in t...

CVE-2020-28975: Undefined Security Weakness

svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence standard with a large value in the nsupport array. NOT...

CVE-2020-28975

svmpredictvalues in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service segmentation fault via a crafted model SVM introduced via pickle, json, or any other model permanence standard with a large value in the nsupport array. NOT...

Security Bulletin: WML CE Scikit-learn vulnerable to irresponsible usage

Summary WML containers include scikit-learn. Scikit-learn includes joblib and pickle to cache and load models. Pickle and joblib by extension, has some issues regarding maintainability and security. Because of this, usage of the joblib.load function in scikit-learn must be done in a responsible...

scikit-learn code issue vulnerability

scikit-learn is an open-source Python-based machine learning package that supports features such as spam detection, image recognition, and prediction of continuous-valued attributes of associations. A code issue vulnerability exists in scikit-learn sklearn 0.23.0 and earlier versions, which can b...

DEBIAN-CVE-2020-13092

scikit-learn aka sklearn through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load function, if reduce makes an os.system call. NOTE: third parties dispute this issue because the joblib.load function is documented as unsafe and it is the user's...