5 matches found
b2aiprep (>=0.19.0 <=3.3.3), capstone-text-mining (>=0.0.6 <=0.1.2) +10 more potentially affected by CVE-2026-31222 via snorkel (>=0.10.0 <=0.9.9)
snorkel PYPI version =0.10.0, =0.19.0, =0.0.6, =1.0.2, =0.8.0, =0.1.1, =0.1.2, =0.1.0, =0.6.1, =0.0.0, =1.3.1a1 - t2r2 =0.0.1 - ws-benchmark =1.1.2rc0 Source cves: CVE-2026-31222 Source advisory: SNYK:PYTHON-SNORKEL-16758049...
b2aiprep (>=0.19.0 <=3.3.3), capstone-text-mining (>=0.0.6 <=0.1.2) +10 more potentially affected by CVE-2026-31223 via snorkel (>=0.10.0 <=0.9.9)
snorkel PYPI version =0.10.0, =0.19.0, =0.0.6, =1.0.2, =0.8.0, =0.1.1, =0.1.2, =0.1.0, =0.6.1, =0.0.0, =1.3.1a1 - t2r2 =0.0.1 - ws-benchmark =1.1.2rc0 Source cves: CVE-2026-31223 Source advisory: SNYK:PYTHON-SNORKEL-16758051...
b2aiprep (>=0.19.0 <=3.3.3), capstone-text-mining (>=0.0.6 <=0.1.2) +10 more potentially affected by CVE-2026-31224 via snorkel (>=0.10.0 <=0.9.9)
snorkel PYPI version =0.10.0, =0.19.0, =0.0.6, =1.0.2, =0.8.0, =0.1.1, =0.1.2, =0.1.0, =0.6.1, =0.0.0, =1.3.1a1 - t2r2 =0.0.1 - ws-benchmark =1.1.2rc0 Source cves: CVE-2026-31224 Source advisory: SNYK:PYTHON-SNORKEL-16758048...
Identification of Malicious Posts on the Dark Web Using Supervised Machine Learning
Given the constant growth and increasing sophistication of cyberattacks, cybersecurity can no longer rely solely on traditional defense techniques and tools. Proactive detection of cyber threats has become essential to help security teams identify potential risks and implement effective mitigatio...
Fast, Effective N-grams Extraction and Analysis with SQL
Features extraction is expensive, especially when dealing with big data. That’s why it’s great when you have the ability to preprocess close to the database - the data stays in the DB and doesn’t have to move out, unless necessary. One common approach for text data representation is N-grams...