Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
SigSpoof (CVE-2018-12020) is a family of security vulnerabilities that affected the software package GNU Privacy Guard ("GnuPG") since version 0.2.2, that was released in 1998. Several other software packages that make use of GnuPG were also affected, such as Pass and Enigmail.
Overview, Related Topics & Entities
Explore the main themes, entities and connections around SigSpoof. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
affected software gnupg gnu privacy guard attacks pass enigmail spoofed cve-2018-12020 family security vulnerabilities package since version released 1998 several
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| SigSpoof | Affected software | GNU Privacy Guard (GnuPG) from v0.2.2 to v2.2.8. | 1.00 | infobox |
| SigSpoof | CVE identifier | CVE-.mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-col… | 1.00 | infobox |
| SigSpoof | Date discovered | June 2018; 8 years ago (2018-06) | 1.00 | infobox |
| SigSpoof | Discoverer | Marcus Brinkmann | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.