## Line Chart: Number of Packages Matched by Heuristic Over Time ### Overview The image is a line chart showing the number of packages matched by different heuristics over time, from 2017 to 2023. The y-axis represents the number of packages, and the x-axis represents the date. There are four lines, each representing a different heuristic: "Embedded dates" (blue), "Embedded uname output" (red), "Embedded environment variable" (green), and "Embedded build ID" (purple). ### Components/Axes * **Title:** "Number of packages matched by the heuristic" (y-axis) * **X-axis:** "Date" * **X-axis Markers:** 2018, 2019, 2020, 2021, 2022, 2023 * **Y-axis:** "Number of packages matched by the heuristic" * **Y-axis Markers:** 0, 200, 400, 600, 800 * **Legend:** Located at the bottom of the chart. * **Embedded dates:** (blue line) * **Embedded uname output:** (red line) * **Embedded environment variable:** (green line) * **Embedded build ID:** (purple line) ### Detailed Analysis * **Embedded dates (blue line):** This line starts at approximately 720 in 2017, increases to approximately 750 in 2018, then to 820 in 2019. It decreases to approximately 700 in 2019, then increases sharply to approximately 920 in 2020. It remains high at approximately 900 in 2021, then drops to approximately 750 in 2021. It decreases to approximately 620 in 2022, then increases to approximately 680 in 2023, before dropping to approximately 480 in 2023. * **Embedded uname output (red line):** This line remains relatively flat throughout the period. It starts at approximately 60 in 2017, increases to approximately 70 in 2018, then decreases to approximately 60 in 2019. It increases slightly to approximately 70 in 2020, then decreases to approximately 60 in 2021. It increases to approximately 80 in 2022, then decreases to approximately 70 in 2023, before decreasing to approximately 60 in 2023. * **Embedded environment variable (green line):** This line remains relatively flat until 2021, then increases sharply. It starts at approximately 30 in 2017, remains at approximately 30 in 2018, then decreases to approximately 20 in 2019. It remains at approximately 30 in 2020 and 2021, then increases sharply to approximately 440 in 2022. It increases slightly to approximately 500 in 2022, then decreases sharply to approximately 80 in 2023, before decreasing to approximately 20 in 2023. * **Embedded build ID (purple line):** This line increases from 2017 to 2020, then decreases slightly before increasing again. It starts at approximately 10 in 2017, increases to approximately 150 in 2018, then remains at approximately 150 in 2019. It increases to approximately 160 in 2020, then decreases to approximately 120 in 2021. It increases to approximately 180 in 2021, then decreases to approximately 110 in 2022. It increases to approximately 140 in 2023, before increasing to approximately 160 in 2023. ### Key Observations * The "Embedded dates" heuristic consistently matches the highest number of packages. * The "Embedded uname output" heuristic consistently matches the lowest number of packages. * The "Embedded environment variable" heuristic shows a significant spike in 2021 and 2022. ### Interpretation The chart illustrates the prevalence of different types of embedded information within software packages over time. The "Embedded dates" heuristic consistently identifies the most packages, suggesting that date information is commonly included. The spike in "Embedded environment variable" matches in 2021 and 2022 could indicate a change in coding practices or an increased reliance on environment variables during those years. The relatively low and stable number of matches for "Embedded uname output" suggests that this type of information is less frequently embedded in packages. The "Embedded build ID" heuristic shows a gradual increase over time, suggesting that build IDs are becoming more common in software packages.

## Line Chart: Packages Matched by Heuristic Over Time ### Overview This line chart displays the number of packages matched by different heuristics over the period from 2018 to 2023. Four heuristics are compared: Embedded dates, Embedded uname output, Embedded environment variable, and Embedded build ID. The y-axis represents the number of packages matched, while the x-axis represents the date. ### Components/Axes * **X-axis Title:** Date * **Y-axis Title:** Number of packages matched by the heuristic * **Legend:** Located at the bottom-center of the chart. * Embedded dates (Purple line) * Embedded uname output (Orange line) * Embedded environment variable (Green line) * Embedded build ID (Blue line) * **X-axis Markers:** 2018, 2019, 2020, 2021, 2022, 2023 * **Y-axis Scale:** Approximately 0 to 900, with increments of 100. ### Detailed Analysis * **Embedded dates (Purple Line):** This line generally slopes upward from 2018 to 2020, peaking at approximately 880 in 2020. It then declines to around 750 in 2021, rises again to approximately 820 in 2022, and then sharply drops to around 450 in 2023. * 2018: ~740 * 2019: ~780 * 2020: ~880 * 2021: ~750 * 2022: ~820 * 2023: ~450 * **Embedded uname output (Orange Line):** This line remains relatively flat throughout the period, fluctuating between approximately 20 and 80. It shows a slight dip around 2021. * 2018: ~40 * 2019: ~50 * 2020: ~40 * 2021: ~20 * 2022: ~60 * 2023: ~30 * **Embedded environment variable (Green Line):** This line shows a significant increase from 2021 to 2022, rising from approximately 100 to 450. It then decreases to around 200 in 2023. * 2018: ~100 * 2019: ~150 * 2020: ~100 * 2021: ~100 * 2022: ~450 * 2023: ~200 * **Embedded build ID (Blue Line):** This line exhibits a generally upward trend from 2018 to 2022, starting at approximately 700 and reaching a peak of around 850 in 2022. It then experiences a substantial decline to approximately 650 in 2023. * 2018: ~700 * 2019: ~750 * 2020: ~800 * 2021: ~780 * 2022: ~850 * 2023: ~650 ### Key Observations * The "Embedded dates" and "Embedded build ID" heuristics consistently match a significantly higher number of packages compared to the other two. * The "Embedded environment variable" heuristic shows a dramatic increase in matched packages in 2022, followed by a decrease in 2023. * The "Embedded uname output" heuristic remains relatively stable with a low number of matches. * 2023 shows a significant drop in matches for "Embedded dates" and "Embedded build ID". ### Interpretation The chart demonstrates the effectiveness of different heuristics in matching packages over time. The consistently high number of matches for "Embedded dates" and "Embedded build ID" suggests these are reliable indicators. The sudden increase in "Embedded environment variable" matches in 2022 could indicate a change in how packages are built or labeled, or a refinement in the heuristic itself. The sharp decline in matches for "Embedded dates" and "Embedded build ID" in 2023 is a notable anomaly that warrants further investigation. It could be due to changes in package metadata, updates to the matching algorithm, or a shift in the package landscape. The relatively low and stable matches for "Embedded uname output" suggest this heuristic is less effective or applicable to the majority of packages. The data suggests a dynamic relationship between the heuristics and the packages they are attempting to match, highlighting the need for continuous monitoring and adaptation of these methods.

\n ## Line Chart: Heuristic Matching of Packages Over Time (2018-2023) ### Overview This is a line chart tracking the number of software packages matched by four different detection heuristics over a period from approximately early 2018 to late 2023. The chart visualizes trends in how frequently certain types of embedded information are found within packages over time. ### Components/Axes * **Chart Type:** Multi-line chart. * **X-Axis (Horizontal):** Labeled "Date". It displays yearly time markers: 2018, 2019, 2020, 2021, 2022, 2023. The axis appears to have quarterly or semi-annual data points between the year labels. * **Y-Axis (Vertical):** Labeled "Number of packages matched by the heuristic". The scale runs from 0 to 800, with major gridlines at intervals of 200 (0, 200, 400, 600, 800). * **Legend:** Positioned at the bottom center of the chart, below the x-axis label. It is titled "Heuristic:" and defines four data series: * **Blue Line:** "Embedded dates" * **Red/Orange Line:** "Embedded uname output" * **Green Line:** "Embedded environment variable" * **Purple Line:** "Embedded build ID" ### Detailed Analysis **1. Embedded dates (Blue Line):** * **Trend & Position:** This is the dominant series, consistently positioned at the top of the chart. It shows a general upward trend from 2018 to a peak around 2020, followed by a gradual decline through 2023. * **Approximate Data Points:** * Early 2018: ~710 * Mid-2018: ~760 * Early 2019: ~820 (local peak) * Mid-2019: ~690 (dip) * Early 2020: ~920 (global peak) * Mid-2020: ~890 * Early 2021: ~890 * Mid-2021: ~740 * Early 2022: ~810 * Mid-2022: ~730 * Early 2023: ~620 * Mid-2023: ~680 * Late 2023: ~470 **2. Embedded environment variable (Green Line):** * **Trend & Position:** This series is near the bottom (close to 0) for most of the timeline but exhibits a dramatic, isolated spike. * **Approximate Data Points:** * 2018 to early 2022: Remains very low, fluctuating between ~20 and ~30. * Mid-2022: Sharp increase to ~430. * Late 2022: Peaks at ~500. * Early 2023: Drops sharply to ~160. * Mid-2023: Falls back to baseline levels (~20). **3. Embedded build ID (Purple Line):** * **Trend & Position:** This series occupies the lower-middle range of the chart, showing moderate fluctuations. * **Approximate Data Points:** * Early 2018: ~0 * Mid-2018: ~155 * Early 2019: ~145 * Mid-2019: ~60 (dip) * Early 2020: ~165 * Mid-2020: ~115 * Early 2021: ~175 * Mid-2021: ~70 * Early 2022: ~95 * Mid-2022: ~110 * Early 2023: ~105 * Mid-2023: ~130 * Late 2023: ~165 **4. Embedded uname output (Red/Orange Line):** * **Trend & Position:** This is the most stable series, forming a nearly flat line near the bottom of the chart. * **Approximate Data Points:** Consistently hovers between ~40 and ~80 throughout the entire period, with no significant peaks or valleys. ### Key Observations 1. **Dominance of Dates:** The "Embedded dates" heuristic matches significantly more packages than all others combined for the entire observed period, indicating timestamps are a very common artifact in packages. 2. **Anomalous Spike:** The "Embedded environment variable" heuristic shows a massive, temporary surge in matches during 2022, suggesting a specific event, widespread adoption of a new build practice, or a change in the heuristic's detection capability during that window. 3. **Stability of uname:** The "Embedded uname output" shows remarkable consistency, implying the inclusion of system information (like `uname -a` output) is a stable, low-frequency practice in package creation. 4. **Build ID Volatility:** The "Embedded build ID" shows more volatility than uname but less than the environment variable spike, suggesting its usage is somewhat variable but not tied to a single major event. ### Interpretation This chart likely analyzes metadata or build artifacts within software packages (e.g., from repositories like npm, PyPI, or container images) to understand common fingerprinting or information leakage patterns. * **What the data suggests:** The high prevalence of embedded dates points to build timestamps or file modification dates being routinely included. The 2022 spike in environment variables could correlate with a shift in CI/CD practices, a new popular toolchain that embeds such data, or a security research focus that led to better detection. The low, stable rate of `uname` output suggests it's a known but less common practice, possibly avoided due to security or reproducibility concerns. * **Relationships:** The heuristics are independent detection methods. Their relative frequencies show which types of embedded data are most "noisy" or common. The spike in one heuristic (environment variable) does not correspond to a change in the others, indicating it was driven by a unique factor. * **Notable Anomalies:** The 2022 environment variable spike is the primary anomaly. Its sharp rise and fall suggest a transient phenomenon rather than a permanent trend change. The consistent gap between "Embedded dates" and all other heuristics is a significant and persistent pattern.

## Line Chart: Number of Packages Matched by Heuristic Over Time ### Overview The chart displays four time-series data lines representing different heuristics used to match packages over a six-year period (2018–2023). The y-axis measures the number of packages matched, while the x-axis tracks chronological progression. Four distinct heuristics are visualized with unique colors and trends. ### Components/Axes - **X-axis (Date)**: Labeled "Date" with annual markers from 2018 to 2023. - **Y-axis (Number of packages matched by the heuristic)**: Labeled with increments of 200, ranging from 0 to 1000. - **Legend**: Located at the bottom, with four entries: - **Blue**: Embedded dates - **Red**: Embedded uname output - **Green**: Embedded environment variable - **Purple**: Embedded build ID ### Detailed Analysis 1. **Embedded dates (Blue line)**: - Starts at ~700 packages in 2018. - Peaks at ~900 packages in 2020. - Declines sharply to ~500 packages by 2023. - Shows volatility between 2019–2021, with a notable drop in 2022. 2. **Embedded uname output (Red line)**: - Remains consistently low (~50–100 packages) throughout the period. - Peaks at ~80 packages in 2021. - Fluctuates minimally, with no significant upward or downward trend. 3. **Embedded environment variable (Green line)**: - Starts near 0 in 2018. - Spikes dramatically to ~500 packages in 2022. - Drops abruptly to ~20 packages in 2023. - Shows a secondary peak at ~150 packages in 2021. 4. **Embedded build ID (Purple line)**: - Begins at 0 in 2018. - Gradually increases to ~150 packages by 2022. - Rises to ~180 packages in 2023. - Exhibits steady growth with minor fluctuations. ### Key Observations - **Dominance of Embedded dates**: The blue line consistently represents the highest values until 2020, after which it declines. - **Environment variable anomaly**: The green line’s 2022 spike (500 packages) and subsequent collapse (20 packages in 2023) suggest a sudden, short-lived impact. - **Build ID growth**: The purple line’s gradual rise indicates increasing effectiveness over time. - **Uname output stagnation**: The red line remains the least impactful heuristic across all years. ### Interpretation The data suggests that **Embedded dates** were the most effective heuristic initially but lost prominence after 2020, possibly due to changes in package metadata or system updates. The **Embedded environment variable**’s 2022 spike implies a temporary, high-impact event (e.g., a system migration or data enrichment phase), followed by a sharp decline that may indicate reduced relevance or data quality issues. The **Embedded build ID**’s steady growth highlights its increasing utility, potentially reflecting improved tracking mechanisms or expanded build systems. Meanwhile, **Embedded uname output**’s stagnation suggests it is the least effective heuristic, possibly due to limited variability in user data or outdated implementation. The chart underscores the dynamic nature of heuristic effectiveness over time, emphasizing the need for periodic reevaluation of matching strategies as systems evolve.