## Timing Analysis of Cookie Guessing ### Overview The image presents six scatter plots, each representing the timing (in nanoseconds) for different guesses of a byte in a cookie. Each plot corresponds to a specific byte position (Byte 0 to Byte 5). The x-axis represents the different guesses made for that byte, and the y-axis represents the timing taken for each guess. A red dot highlights a specific guess in each byte plot, presumably indicating the correct guess. ### Components/Axes * **Y-axis:** "Timing [ns]" with a scale from approximately 1.18 x 10^6 to 1.3 x 10^6 ns. The scale varies slightly between plots. * **X-axis:** "Guess" - represents the different guesses made for the cookie byte. The labels on the x-axis indicate the specific guess being made (e.g., "cookie=0", "ookie=S0", "kie=SEC0", "ie=SECR0", "e=SECRE0"). * **Titles:** Each plot has a title indicating the byte number being analyzed (e.g., "Byte 0", "Byte 1", ..., "Byte 5"). * **Data Points:** Blue dots represent the timing for each guess. * **Highlighted Guess:** A red dot highlights a specific guess in each plot. ### Detailed Analysis **Byte 0:** * X-axis labels: `cookie=0`, `cookie=5`, `cookie=9`, `cookie=A`, `cookie=H`, `cookie=M`, `cookie=S`, `cookie=Z` * Y-axis range: Approximately 1.2 x 10^6 to 1.26 x 10^6 ns. * Trend: The timing values are relatively stable, with a slight increase for `cookie=9` and `cookie=S`. * Highlighted Guess: `cookie=S` is highlighted with a red dot. * Values: Most points are around 1.22 x 10^6 ns, with `cookie=9` and `cookie=S` around 1.24 x 10^6 ns. **Byte 1:** * X-axis labels: `ookie=S0`, `ookie=S5`, `ookie=S9`, `ookie=SA`, `ookie=SE`, `ookie=SH`, `ookie=SM`, `ookie=SS`, `ookie=SZ` * Y-axis range: Approximately 1.18 x 10^6 to 1.26 x 10^6 ns. * Trend: The timing values are relatively stable, with a noticeable increase for `ookie=SE`. * Highlighted Guess: `ookie=SE` is highlighted with a red dot. * Values: Most points are around 1.22 x 10^6 ns, with `ookie=SE` around 1.26 x 10^6 ns. **Byte 2:** * X-axis labels: `okie=SE0`, `okie=SE5`, `okie=SE9`, `okie=SEC`, `okie=SEH`, `okie=SEM`, `okie=SES`, `okie=SEZ` * Y-axis range: Approximately 1.19 x 10^6 to 1.27 x 10^6 ns. * Trend: The timing values are relatively stable, with a slight increase for `okie=SEC`. * Highlighted Guess: `okie=SEC` is highlighted with a red dot. * Values: Most points are around 1.22 x 10^6 ns, with `okie=SEC` around 1.26 x 10^6 ns. **Byte 3:** * X-axis labels: `kie=SEC0`, `kie=SEC5`, `kie=SEC9`, `kie=SECA`, `kie=SECH`, `kie=SECM`, `kie=SECR`, `kie=SECRZ` * Y-axis range: Approximately 1.2 x 10^6 to 1.3 x 10^6 ns. * Trend: The timing values are relatively stable, with a slight increase for `kie=SECR`. * Highlighted Guess: `kie=SECR` is highlighted with a red dot. * Values: Points for `kie=SEC0`, `kie=SEC5`, `kie=SEC9` are around 1.22 x 10^6 ns. `kie=SECR` is around 1.28 x 10^6 ns. **Byte 4:** * X-axis labels: `ie=SECR0`, `ie=SECR5`, `ie=SECR9`, `ie=SECRA`, `ie=SECRE`, `ie=SECRM`, `ie=SECRS`, `ie=SECRZ` * Y-axis range: Approximately 1.19 x 10^6 to 1.27 x 10^6 ns. * Trend: The timing values are relatively stable, with a noticeable increase for `ie=SECRE`. * Highlighted Guess: `ie=SECRE` is highlighted with a red dot. * Values: Most points are around 1.22 x 10^6 ns, with `ie=SECRE` around 1.26 x 10^6 ns. **Byte 5:** * X-axis labels: `e=SECRE0`, `e=SECRE5`, `e=SECRE9`, `e=SECREA`, `e=SECREH`, `e=SECREM`, `e=SECRET`, `e=SECREZ` * Y-axis range: Approximately 1.19 x 10^6 to 1.27 x 10^6 ns. * Trend: The timing values are relatively stable, with a slight increase for `e=SECRET`. * Highlighted Guess: `e=SECRET` is highlighted with a red dot. * Values: Most points are around 1.22 x 10^6 ns, with `e=SECRET` around 1.26 x 10^6 ns. ### Key Observations * For each byte, the highlighted guess (red dot) corresponds to a noticeable increase in timing compared to other guesses. * The timing differences between correct and incorrect guesses are relatively small, on the order of 0.04 x 10^6 ns (40,000 ps). * The x-axis labels show a progression in the guessed string as the byte position increases (e.g., `cookie`, `ookie`, `okie`, `kie`, `ie`, `e`). ### Interpretation The data suggests a timing attack vulnerability. The correct guess for each byte of the cookie results in a slightly longer execution time. This timing difference, although small, can be exploited to infer the correct cookie value. The red dots indicate the correct cookie bytes, which, when combined, form the string "SECRET". The timing variations likely arise from conditional branches or other operations that take slightly longer when the correct byte is guessed. This type of analysis is crucial for identifying and mitigating security vulnerabilities in software systems.

\n ## Scatter Plot: Timing vs. Guess for Cookie Bytes ### Overview The image presents six scatter plots arranged vertically. Each plot represents a different byte (Byte 0 through Byte 5) of a "cookie" and shows the relationship between a "Guess" value and the corresponding "Timing" in nanoseconds (ns). Each plot displays timing data for various guesses, represented by different labels along the x-axis. A red data point is present in each plot, seemingly marking a specific guess. ### Components/Axes * **X-axis:** "Guess" - Categorical variable representing different cookie byte guesses. The labels vary for each byte, including "cookie=0", "cookie=5", "cookie=9", "cookie=A", "cookie=H", "cookie=M", "cookie=S", "cookie=Z" for Byte 0, and similar variations for Bytes 1-5. * **Y-axis:** "Timing [ns]" - Numerical variable representing the time taken in nanoseconds. The scale ranges from approximately 1.1 x 10⁶ to 1.3 x 10⁶ ns, with varying ranges for each byte. * **Data Points:** Blue scatter points representing the timing for each guess. A single red scatter point is present in each plot. * **Title:** Each plot is labeled with "Byte X" (where X is 0-5). * **Grid:** A light gray grid is present in the background of each plot. ### Detailed Analysis or Content Details **Byte 0:** * Trend: The blue data points are relatively flat, showing minimal variation in timing across different guesses. * Data Points (approximate): * cookie=0: 1.23 x 10⁶ ns * cookie=5: 1.24 x 10⁶ ns * cookie=9: 1.24 x 10⁶ ns * cookie=A: 1.23 x 10⁶ ns * cookie=H: 1.24 x 10⁶ ns * cookie=M: 1.23 x 10⁶ ns * cookie=S: 1.24 x 10⁶ ns * cookie=Z: 1.23 x 10⁶ ns * Red Point: cookie=S, 1.25 x 10⁶ ns **Byte 1:** * Trend: The blue data points show a slight upward trend as the guess value increases. * Data Points (approximate): * ookie=S0: 1.14 x 10⁶ ns * ookie=S5: 1.16 x 10⁶ ns * ookie=S9: 1.18 x 10⁶ ns * ookie=SA: 1.19 x 10⁶ ns * ookie=SE: 1.20 x 10⁶ ns * ookie=SH: 1.21 x 10⁶ ns * ookie=SM: 1.22 x 10⁶ ns * ookie=SS: 1.23 x 10⁶ ns * ookie=SZ: 1.24 x 10⁶ ns * Red Point: ookie=SZ, 1.25 x 10⁶ ns **Byte 2:** * Trend: Similar to Byte 1, a slight upward trend is observed. * Data Points (approximate): * okie=SE0: 1.20 x 10⁶ ns * okie=SE5: 1.21 x 10⁶ ns * okie=SE9: 1.22 x 10⁶ ns * okie=SEC: 1.23 x 10⁶ ns * okie=SEH: 1.24 x 10⁶ ns * okie=SEM: 1.25 x 10⁶ ns * okie=SES: 1.24 x 10⁶ ns * okie=SEZ: 1.25 x 10⁶ ns * Red Point: okie=SEZ, 1.26 x 10⁶ ns **Byte 3:** * Trend: A more pronounced upward trend is visible. * Data Points (approximate): * kie=SEC0: 1.18 x 10⁶ ns * kie=SEC5: 1.20 x 10⁶ ns * kie=SEC9: 1.22 x 10⁶ ns * kie=SECA: 1.23 x 10⁶ ns * kie=SECH: 1.24 x 10⁶ ns * kie=SECM: 1.25 x 10⁶ ns * kie=SECR: 1.24 x 10⁶ ns * kie=SECRZ: 1.26 x 10⁶ ns * Red Point: kie=SECRZ, 1.27 x 10⁶ ns **Byte 4:** * Trend: A clear upward trend is observed. * Data Points (approximate): * ie=SECRO: 1.20 x 10⁶ ns * ie=SECRS: 1.21 x 10⁶ ns * ie=SECRO9: 1.22 x 10⁶ ns * ie=SECREA: 1.23 x 10⁶ ns * ie=SECREH: 1.24 x 10⁶ ns * ie=SECREM: 1.25 x 10⁶ ns * ie=SECRR: 1.24 x 10⁶ ns * ie=SECRZ: 1.26 x 10⁶ ns * Red Point: ie=SECRZ, 1.27 x 10⁶ ns **Byte 5:** * Trend: A clear upward trend is observed. * Data Points (approximate): * e=SECRET0: 1.20 x 10⁶ ns * e=SECRET5: 1.21 x 10⁶ ns * e=SECRET9: 1.22 x 10⁶ ns * e=SECRETA: 1.23 x 10⁶ ns * e=SECRETH: 1.24 x 10⁶ ns * e=SECRETM: 1.25 x 10⁶ ns * e=SECRETR: 1.24 x 10⁶ ns * e=SECREZ: 1.26 x 10⁶ ns * Red Point: e=SECREZ, 1.27 x 10⁶ ns ### Key Observations * The red data point consistently appears at the highest "Guess" value for each byte. * The timing generally increases with increasing "Guess" values, particularly from Byte 1 onwards. * Byte 0 shows the least variation in timing. * The timing scales vary slightly between the bytes. ### Interpretation The plots likely represent a timing attack or side-channel analysis on a system that uses a cookie for authentication or security. The "Guess" values represent attempts to predict the cookie byte by byte. The "Timing" represents the time taken to perform a comparison or operation related to the cookie. The upward trend in timing as the "Guess" value increases suggests that the comparison process takes longer when the guess is closer to the correct value. This is a common characteristic of timing attacks, where attackers can infer information about the secret cookie by measuring the time it takes for the system to respond to different guesses. The red data point consistently appearing at the highest guess value and longest timing suggests that this guess is the correct one for that byte. The fact that Byte 0 shows minimal timing variation might indicate that this byte is either less sensitive or protected by a different mechanism. The data suggests a vulnerability to timing attacks, as the timing information leaks information about the cookie. Further analysis would be needed to determine the severity of the vulnerability and potential mitigation strategies. The consistent pattern across bytes indicates a systematic timing leak, rather than random noise.

## Scatter Plot Series: Timing Attack Analysis on Cookie Byte Values ### Overview The image displays a vertical series of six scatter plots, each analyzing timing data for different byte positions (Byte 0 through Byte 5) of a guessed cookie value. The plots collectively demonstrate a timing side-channel attack, where the processing time for a guess reveals information about the correct secret value. Each plot shows multiple timing measurements for different guess strings, with one guess in each plot (highlighted in bold on the x-axis and marked with a red dot) exhibiting a consistently higher timing value, indicating it is the correct byte at that position. ### Components/Axes * **Plot Structure:** Six individual scatter plots arranged vertically, labeled sequentially from top to bottom. * **Y-Axis (All Plots):** Labeled "Timing [ns]". The scale is in nanoseconds, multiplied by a factor of 10^6 (indicated by "·10^6" at the top-left of each plot's y-axis). The visible range is approximately 1.18 to 1.30 million ns (1.18 ms to 1.30 ms). * **X-Axis (All Plots):** Labeled "Guess". Each axis displays a series of categorical labels representing different guess strings. The labels are rotated for readability. * **Data Points:** Each plot contains two distinct sets of data points: * **Blue Dots:** Represent timing measurements for incorrect guess strings. They form a relatively tight cluster. * **Red Dot:** Represents the timing measurement for the correct guess string at that byte position. It is a clear outlier, positioned higher on the y-axis than the cluster of blue dots. * **Legend:** There is no explicit legend box. The color coding (blue for incorrect, red for correct) is consistent and self-explanatory across all six plots. * **Spatial Grounding:** The red outlier dot is consistently located in the upper portion of each plot's data field, directly above its corresponding x-axis label. The cluster of blue dots is generally centered around the 1.20-1.25 million ns mark. ### Detailed Analysis **Byte 0 Plot:** * **X-Axis Labels:** `cookie=0`, `cookie=5`, `cookie=9`, `cookie=A`, `cookie=H`, `cookie=M`, **`cookie=S`**, `cookie=Z`. * **Trend & Data:** The blue dots cluster between ~1.20 and 1.25 million ns. The red dot for **`cookie=S`** is a significant outlier at approximately **1.28 million ns**. **Byte 1 Plot:** * **X-Axis Labels:** `ookie=$0`, `ookie=$5`, `ookie=$9`, `ookie=$A`, **`ookie=$E`**, `ookie=$H`, `ookie=$M`, `ookie=$S`, `ookie=$Z`. * **Trend & Data:** Blue dots cluster between ~1.18 and 1.24 million ns. The red dot for **`ookie=$E`** is an outlier at approximately **1.26 million ns**. **Byte 2 Plot:** * **X-Axis Labels:** `okie=$E0`, `okie=$E5`, `okie=$E9`, `okie=$EA`, **`okie=$EC`**, `okie=$EH`, `okie=$EM`, `okie=$ES`, `okie=$EZ`. * **Trend & Data:** Blue dots cluster between ~1.20 and 1.25 million ns. The red dot for **`okie=$EC`** is an outlier at approximately **1.27 million ns**. **Byte 3 Plot:** * **X-Axis Labels:** `kie=$SEC0`, `kie=$SEC5`, `kie=$SEC9`, `kie=$SECA`, `kie=$SECH`, `kie=$SECM`, **`kie=$SECR`**, `kie=$SECZ`. * **Trend & Data:** Blue dots cluster between ~1.20 and 1.25 million ns. The red dot for **`kie=$SECR`** is an outlier at approximately **1.29 million ns**. **Byte 4 Plot:** * **X-Axis Labels:** `ie=$SECR0`, `ie=$SECR5`, `ie=$SECR9`, `ie=$SECRA`, **`ie=$SECRE`**, `ie=$SECRM`, `ie=$SECRS`, `ie=$SECRZ`. * **Trend & Data:** Blue dots cluster between ~1.20 and 1.25 million ns. The red dot for **`ie=$SECRE`** is an outlier at approximately **1.27 million ns**. **Byte 5 Plot:** * **X-Axis Labels:** `e=$SECRE0`, `e=$SECRE5`, `e=$SECRE9`, `e=$SECREA`, `e=$SECREH`, `e=$SECREM`, **`e=$SECREET`**, `e=$SECREZ`. * **Trend & Data:** Blue dots cluster between ~1.20 and 1.25 million ns. The red dot for **`e=$SECREET`** is an outlier at approximately **1.26 million ns**. ### Key Observations 1. **Consistent Outlier Pattern:** In every single plot, the guess corresponding to the next character of the secret string "SECRET" (S, E, C, R, E, E) results in a timing measurement that is distinctly higher (by ~0.03-0.05 million ns) than all other guesses. 2. **Progressive Disclosure:** The x-axis labels show the guess string being built incrementally. Byte 0 tests the first character, Byte 1 tests the second character appended to the first correct one, and so on. This visualizes the step-by-step nature of the attack. 3. **Tight Clustering of Incorrect Guesses:** The timing for incorrect guesses is very consistent, forming a dense horizontal band. This low variance makes the outlier (correct guess) easy to identify statistically. 4. **Magnitude of Timing Difference:** The timing difference, while small in absolute terms (~30-50 microseconds), is significant and repeatable relative to the baseline timing of ~1.2 milliseconds. ### Interpretation This image is a textbook visualization of a **timing side-channel attack** against a system that compares a user-provided cookie (or secret) byte-by-byte. The underlying vulnerability is that the comparison function takes measurably longer to execute when a guessed byte matches the corresponding byte of the true secret. * **What the Data Demonstrates:** The plots prove that an attacker can determine the secret value "SECRET" one character at a time by measuring response times. For each byte position, they try different character guesses. The guess that causes a longer processing time (the red dot) is revealed as the correct character. * **Relationship Between Elements:** Each subplot is a self-contained experiment for one byte position. The collective series shows the logical flow of the attack: success at Byte 0 provides the prefix for testing Byte 1, and so forth. The x-axis labels explicitly show this growing prefix. * **Security Implication:** The clear separation between the red and blue data points indicates a severe vulnerability. The system's secret is not protected; it can be extracted remotely with high confidence using statistical timing analysis. The attack requires only the ability to send guesses and measure response times with microsecond precision. * **Anomaly as Signal:** The "anomaly" (the red dot) is not a flaw in the measurement but the very signal the attacker seeks. Its consistent presence and magnitude across all six bytes confirm the vulnerability is systematic and exploitable.

## Heatmap: Timing Analysis of Cookie Guesses ### Overview The heatmap displays the timing analysis of different cookie guesses across five bytes. Each row represents a byte, and each column represents a guess. The color intensity indicates the timing value, with darker shades representing higher timing values. ### Components/Axes - **X-axis**: Byte 0 to Byte 5 - **Y-axis**: Guess 0 to Guess 5 - **Color Scale**: Darker shades indicate higher timing values - **Legend**: Colors correspond to different guesses ### Detailed Analysis or ### Content Details - **Byte 0**: The guesses range from 1.20 to 1.25 ms, with the highest timing value being 1.25 ms. - **Byte 1**: The guesses range from 1.22 to 1.28 ms, with the highest timing value being 1.28 ms. - **Byte 2**: The guesses range from 1.23 to 1.27 ms, with the highest timing value being 1.27 ms. - **Byte 3**: The guesses range from 1.24 to 1.28 ms, with the highest timing value being 1.28 ms. - **Byte 4**: The guesses range from 1.25 to 1.29 ms, with the highest timing value being 1.29 ms. - **Byte 5**: The guesses range from 1.26 to 1.30 ms, with the highest timing value being 1.30 ms. ### Key Observations - **Byte 0**: The guess "cookie=Z" has the highest timing value. - **Byte 1**: The guess "okie=SZ" has the highest timing value. - **Byte 2**: The guess "kie=SECZ" has the highest timing value. - **Byte 3**: The guess "ie=SECZ" has the highest timing value. - **Byte 4**: The guess "ie=SECZ" has the highest timing value. - **Byte 5**: The guess "ie=SECZ" has the highest timing value. ### Interpretation The heatmap suggests that the timing values vary significantly across different guesses and bytes. The highest timing values are consistently observed for the guess "ie=SECZ" across all bytes. This could indicate that the guess "ie=SECZ" is the most time-consuming or resource-intensive in the context of the analysis. The other guesses have lower timing values, suggesting they are faster or more efficient. The variations in timing values could be due to differences in the complexity or efficiency of the guesses.

## Line Charts: Timing Analysis Across Bytes 0-5 ### Overview The image contains six horizontal line charts, each labeled "Byte 0" to "Byte 5". Each chart plots "Timing [ns]" on the y-axis (ranging from 1.2 × 10⁶ to 1.25 × 10⁶ ns) against categorical labels on the x-axis. A legend distinguishes two data series: "Guess" (red) and "cookie=SE" (red, but with distinct labels). Blue data points dominate, with red outliers marked as "Guess". ### Components/Axes - **Y-axis**: "Timing [ns]" (1.2 × 10⁶ to 1.25 × 10⁶ ns, with gridlines at 1.2, 1.22, 1.24, 1.25 × 10⁶). - **X-axis**: Categorical labels vary per byte: - **Byte 0**: `cookie=0`, `cookie=5`, `cookie=9`, `cookie=A`, `cookie=H`, `cookie=M`, `cookie=S`, `cookie=Z`. - **Byte 1**: `ookie=S0`, `ookie=S5`, `ookie=S9`, `ookie=SA`, `ookie=SE`, `ookie=SH`, `ookie=SM`, `ookie=SS`, `ookie=SZ`. - **Byte 2**: `okie=SE0`, `okie=SE5`, `okie=SE9`, `okie=SEA`, `okie=SEC`, `okie=SEH`, `okie=SEM`, `okie=SES`, `okie=SEZ`. - **Byte 3**: `kie=SEC0`, `kie=SEC5`, `kie=SEC9`, `kie=SECA`, `kie=SECH`, `kie=SECM`, `kie=SECR`, `kie=SECRZ`. - **Byte 4**: `ie=SECR0`, `ie=SECR5`, `ie=SECR9`, `ie=SECRS`, `ie=SECRZ`. - **Byte 5**: `e=SECRE0`, `e=SECRE5`, `e=SECRE9`, `e=SECREA`, `e=SECREH`, `e=SECREM`, `e=SECRET`, `e=SECREZ`. - **Legend**: Located at the top of each chart. - **Blue**: "Guess" (data points). - **Red**: "cookie=SE" (labels, not data points). ### Detailed Analysis - **Byte 0**: - Blue points cluster around 1.2 × 10⁶ ns, with minor fluctuations (e.g., 1.21–1.22 × 10⁶ ns). - Red "Guess" point at 1.25 × 10⁶ ns (highest value). - **Byte 1**: - Blue points range from 1.18 × 10⁶ to 1.24 × 10⁶ ns. - Red "Guess" point at 1.24 × 10⁶ ns. - **Byte 2**: - Blue points cluster tightly around 1.2 × 10⁶ ns. - Red "Guess" point at 1.25 × 10⁶ ns. - **Byte 3**: - Blue points range from 1.2 × 10⁶ to 1.22 × 10⁶ ns. - Red "Guess" point at 1.25 × 10⁶ ns. - **Byte 4**: - Blue points cluster around 1.2 × 10⁶ ns. - Red "Guess" point at 1.25 × 10⁶ ns. - **Byte 5**: - Blue points range from 1.2 × 10⁶ to 1.22 × 10⁶ ns. - Red "Guess" point at 1.25 × 10⁶ ns. ### Key Observations 1. **Consistent Outliers**: The red "Guess" points (1.25 × 10⁶ ns) are consistently higher than all blue data points (1.2–1.24 × 10⁶ ns) across all bytes. 2. **Clustered Blue Data**: Blue points show minimal variation, suggesting stable timing for non-"Guess" categories. 3. **Label Patterns**: X-axis labels follow a prefix-suffix structure (e.g., `cookie=`, `ookie=`, `okie=`, `kie=`, `ie=`, `e=`) with suffixes like `0`, `5`, `9`, `A`, `H`, `M`, `S`, `Z`, and combinations (e.g., `SE`, `SM`, `SECR`). ### Interpretation - **Timing Discrepancy**: The "Guess" category (red) consistently exhibits higher timing than other categories, implying it may involve more computational overhead or a different algorithmic path. - **Label Structure**: The x-axis labels suggest a hierarchical or categorical grouping (e.g., `cookie=`, `ookie=`, `okie=`) with subcategories (e.g., `SE`, `SM`, `SECR`). This could represent different test cases, configurations, or data segments. - **Anomaly Significance**: The red "Guess" points may indicate a specific scenario (e.g., a fallback mechanism, error handling, or optimization test) that is slower than standard operations. - **Data Integrity**: The legend’s "cookie=SE" label (red) does not correspond to any data points, suggesting it might be a mislabeling or a placeholder for a different category. ### Spatial Grounding - **Legend Position**: Top of each chart, aligned horizontally. - **Data Points**: Blue points are evenly distributed along the x-axis, with red "Guess" points positioned at the far right of each chart. - **Axis Alignment**: Y-axis values are consistent across all charts, ensuring comparability. ### Content Details - **Numerical Values**: - Blue points: 1.2–1.24 × 10⁶ ns (with minor fluctuations). - Red "Guess" points: 1.24–1.25 × 10⁶ ns. - **Label Counts**: - Byte 0: 8 labels. - Byte 1: 9 labels. - Byte 2: 9 labels. - Byte 3: 8 labels. - Byte 4: 5 labels. - Byte 5: 8 labels. ### Final Notes The charts highlight a systematic difference in timing between the "Guess" and other categories, with the latter showing stability. The red "Guess" points may represent a critical or edge-case scenario requiring further investigation. The x-axis labels suggest a structured categorization, but the legend’s "cookie=SE" label requires clarification to avoid misinterpretation.