352 matches found
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...
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...
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...
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...
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...
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
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...
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...
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...
Command Execution Vulnerability in Followers (Windows Client)
Followers Learning, which is affiliated with Beijing Baike Internet Technology Co. The program services provided by Followers Learning cover the categories of primary and secondary school culture classes, practical English, workplace, certification, study abroad, graduate school, family education...
88.99.240.100 Cross Site Scripting vulnerability OBB-1266720
Following coordinated and responsible vulnerability disclosure guidelines of the ISO 29147 standard, Open Bug Bounty has:       a. verified the vulnerability and confirmed its existence;       b. notified the website operator about its existence...
learn-and-grow.org Cross Site Scripting vulnerability OBB-1255778
Following coordinated and responsible vulnerability disclosure guidelines of the ISO 29147 standard, Open Bug Bounty has:       a. verified the vulnerability and confirmed its existence;       b. notified the website operator about its existence...
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...
h1-ctf: [H1-2006 2020] H1-2006 CTF Writeup
Hi! The challenges were really great. I had a lot of fun and I can honestly say I learned a few tricks during this journey. I will be submitting the flag now and will work on a very good writeup until the deadline. My reasoning is that there are two different prizes, one for the first ten and...
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...
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...
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...