PyPi: Deeposlandia

CVE-2020-5312

Transitive

Safety vulnerability ID: 54898

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at Jan 03, 2020 Updated at Nov 07, 2023
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Advisory

Deeposlandia 0.6.2 updates pillow to 7.1.1 to include security fixes.

Affected package

deeposlandia

Latest version: 0.8.0

Automatic detection and semantic image segmentation with deep learning

Affected versions

Fixed versions

Vulnerability changelog

*Postprocessing improvement*

Added

- `--nb-tiles-per-image` as a new argument for `datagen` command.
- A progress bar for inference processes (153)

Changed

- `utils.prepare_output_folder()` returns now a dictionary of all useful output paths
- Some dependency updates (Tensorflow, opencv, pillow, keras, daiquiri)
- The preprocessing has been modified for geographic datasets: `-t`, `-v` and `-T` now
refer to raw images, the amount of preprocessed tiles being obtained by a combination
of `--nb-tiles-per-image` and these last arguments.
- The tile grid becomes optional for postprocessing (155).

Fixed

- Draws *without replacement* instead of *with replacement* in the case of preprocessing
of geographic dataset testing images (`np.random.choice` wrong parameterization). 146

Security

- `pillow` was updated to `7.1.1` (moderate severity vulnerability alert for
`pillow<6.2.2`)

Removed

- `sys.exit` statements (150)

Resources

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Severity Details

CVSS Base Score

CRITICAL 9.8

CVSS v3 Details

CRITICAL 9.8
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
LOW
Privileges Required (PR)
NONE
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
HIGH
Integrity Impact (I)
HIGH
Availability Availability (A)
HIGH

CVSS v2 Details

HIGH 7.5
Access Vector (AV)
NETWORK
Access Complexity (AC)
LOW
Authentication (Au)
NONE
Confidentiality Impact (C)
PARTIAL
Integrity Impact (I)
PARTIAL
Availability Impact (A)
PARTIAL